Triple

T13709460
Position Surface form Disambiguated ID Type / Status
Subject The Last Innocent Man E328730 entity
Predicate castMember P1668 FINISHED
Object Darrell Larson
Darrell Larson is an American actor and director known for his character roles in film and television since the 1970s.
E1080598 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: Darrell Larson | Statement: [The Last Innocent Man, castMember, Darrell Larson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darrell Larson
Context triple: [The Last Innocent Man, castMember, Darrell Larson]
  • A. Darrell Schweitzer
    Darrell Schweitzer is an American writer, critic, and editor best known for his work in fantasy and horror fiction and his long association with the magazine Weird Tales.
  • B. Dale Beldin
    Dale Beldin is a film editor best known for his work on the action-comedy movie "Beverly Hills Cop III."
  • C. Larry Darrell
    Larry Darrell is the spiritually searching World War I veteran protagonist of W. Somerset Maugham’s novel "The Razor’s Edge," known for rejecting conventional success to pursue enlightenment.
  • D. Dale Eunson
    Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
  • E. Dean Paul Larson
    Dean Paul Larson is a fictional character from the television series "The Chair."
  • 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: Darrell Larson
Triple: [The Last Innocent Man, castMember, Darrell Larson]
Generated description
Darrell Larson is an American actor and director known for his character roles in film and television since the 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Darrell Larson
Target entity description: Darrell Larson is an American actor and director known for his character roles in film and television since the 1970s.
  • A. Darrell Schweitzer
    Darrell Schweitzer is an American writer, critic, and editor best known for his work in fantasy and horror fiction and his long association with the magazine Weird Tales.
  • B. Dale Beldin
    Dale Beldin is a film editor best known for his work on the action-comedy movie "Beverly Hills Cop III."
  • C. Larry Darrell
    Larry Darrell is the spiritually searching World War I veteran protagonist of W. Somerset Maugham’s novel "The Razor’s Edge," known for rejecting conventional success to pursue enlightenment.
  • D. Dale Eunson
    Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
  • E. Dean Paul Larson
    Dean Paul Larson is a fictional character from the television series "The Chair."
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd08852a08190b9983e0c3058671a completed May 7, 2026, 5:48 p.m.
NEDg Description generation batch_69fcd4cc2f4c81909bd30cda58fc2393 completed May 7, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fcd5c128c0819081edf72e25c6bc98 completed May 7, 2026, 6:11 p.m.
Created at: April 9, 2026, 9:54 p.m.