Triple

T12363533
Position Surface form Disambiguated ID Type / Status
Subject David Keith E294799 entity
Predicate portrayedCharacter P1668 FINISHED
Object Colonel John ‘Bull’ McGrath in Behind Enemy Lines
Colonel John "Bull" McGrath is a tough, no-nonsense U.S. Navy officer who serves as a commanding figure overseeing a high-stakes rescue mission in the war film "Behind Enemy Lines."
 E977337 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Colonel John ‘Bull’ McGrath in Behind Enemy Lines | Statement: [David Keith, portrayedCharacter, Colonel John ‘Bull’ McGrath in Behind Enemy Lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Colonel John ‘Bull’ McGrath in Behind Enemy Lines
Context triple: [David Keith, portrayedCharacter, Colonel John ‘Bull’ McGrath in Behind Enemy Lines]
  • A. Colonel Reed in The Hurt Locker
    Colonel Reed in The Hurt Locker is a high-ranking, battle-hardened U.S. Army officer who briefly appears in the film to underscore the intensity and psychological strain of the Iraq War bomb disposal setting.
  • B. Colonel John "Hannibal" Smith in "The A-Team"
    Colonel John "Hannibal" Smith is the cigar-chomping, disguise-loving leader and master tactician of the fugitive mercenary team in the action-adventure television series "The A-Team."
  • C. Bull Meechum in The Great Santini
    Bull Meechum in *The Great Santini* is a domineering, hard-driving Marine fighter pilot and patriarch whose harsh, militaristic approach to family life creates intense conflict with his wife and children.
  • D. Captain Davenport in A Soldier's Story
    Captain Davenport in *A Soldier's Story* is a determined and principled Black Army lawyer who investigates a racially charged murder on a segregated World War II military base.
  • E. Corporal Henderson in Saving Private Ryan
    Corporal Henderson is a minor U.S. Army soldier character in the World War II film "Saving Private Ryan," portrayed by actor Max Martini.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Colonel John ‘Bull’ McGrath in Behind Enemy Lines
Triple: [David Keith, portrayedCharacter, Colonel John ‘Bull’ McGrath in Behind Enemy Lines]
Generated description
Colonel John "Bull" McGrath is a tough, no-nonsense U.S. Navy officer who serves as a commanding figure overseeing a high-stakes rescue mission in the war film "Behind Enemy Lines."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Colonel John ‘Bull’ McGrath in Behind Enemy Lines
Target entity description: Colonel John "Bull" McGrath is a tough, no-nonsense U.S. Navy officer who serves as a commanding figure overseeing a high-stakes rescue mission in the war film "Behind Enemy Lines."
  • A. Colonel Reed in The Hurt Locker
    Colonel Reed in The Hurt Locker is a high-ranking, battle-hardened U.S. Army officer who briefly appears in the film to underscore the intensity and psychological strain of the Iraq War bomb disposal setting.
  • B. Colonel John "Hannibal" Smith in "The A-Team"
    Colonel John "Hannibal" Smith is the cigar-chomping, disguise-loving leader and master tactician of the fugitive mercenary team in the action-adventure television series "The A-Team."
  • C. Bull Meechum in The Great Santini
    Bull Meechum in *The Great Santini* is a domineering, hard-driving Marine fighter pilot and patriarch whose harsh, militaristic approach to family life creates intense conflict with his wife and children.
  • D. Captain Davenport in A Soldier's Story
    Captain Davenport in *A Soldier's Story* is a determined and principled Black Army lawyer who investigates a racially charged murder on a segregated World War II military base.
  • E. Corporal Henderson in Saving Private Ryan
    Corporal Henderson is a minor U.S. Army soldier character in the World War II film "Saving Private Ryan," portrayed by actor Max Martini.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa3f958819080555bcae9958a53 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab9ea4c81908313b11716ad7c43 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c569a6c8190aecf8a4c627d8893 completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d07d3148190a45542c8d43a7077 completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:54 p.m.