Triple

T15565793
Position Surface form Disambiguated ID Type / Status
Subject The Old Man and the Gun E371110 entity
Predicate cinematographer P1953 FINISHED
Object Joe Anderson
Joe Anderson is a cinematographer known for his work on films such as "The Old Man and the Gun."
 E1164249 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: Joe Anderson | Statement: [The Old Man and the Gun, cinematographer, Joe Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joe Anderson
Context triple: [The Old Man and the Gun, cinematographer, Joe Anderson]
  • A. Joe Anderson
    Joe Anderson is a British actor known for his roles in films such as "Across the Universe," "The Ruins," and "The Crazies," as well as various television and stage productions.
  • B. Nick Anderson
    Nick Anderson is a former American professional basketball player best known for his long tenure with the Orlando Magic in the NBA.
  • C. Nick Anderson
    Nick Anderson is a musician best known for having been a member of the American rock band Buckcherry.
  • D. Andy Anderson
    Andy Anderson is a musician best known for his work with the Southern rock band Atlanta Rhythm Section.
  • E. Tony Anderson
    Tony Anderson is an athlete known for playing with the sports team The Warriors.
  • 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: Joe Anderson
Triple: [The Old Man and the Gun, cinematographer, Joe Anderson]
Generated description
Joe Anderson is a cinematographer known for his work on films such as "The Old Man and the Gun."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joe Anderson
Target entity description: Joe Anderson is a cinematographer known for his work on films such as "The Old Man and the Gun."
  • A. Joe Anderson
    Joe Anderson is a British actor known for his roles in films such as "Across the Universe," "The Ruins," and "The Crazies," as well as various television and stage productions.
  • B. Nick Anderson
    Nick Anderson is a former American professional basketball player best known for his long tenure with the Orlando Magic in the NBA.
  • C. Nick Anderson
    Nick Anderson is a musician best known for having been a member of the American rock band Buckcherry.
  • D. Andy Anderson
    Andy Anderson is a musician best known for his work with the Southern rock band Atlanta Rhythm Section.
  • E. Tony Anderson
    Tony Anderson is an athlete known for playing with the sports team The Warriors.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddd753c8190b51eaef433258081 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456a3b08819092f9f517bbef5577 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff49541fcc8190a1d22721bc255e19 completed May 9, 2026, 2:48 p.m.
NED2 Entity disambiguation (via description) batch_69ff49f6db508190b0127a59d332512e completed May 9, 2026, 2:51 p.m.
Created at: April 10, 2026, 4:10 a.m.