Triple

T13510290
Position Surface form Disambiguated ID Type / Status
Subject The War Lover E321120 entity
Predicate cinematographyBy P1953 FINISHED
Object Bob Huke
Bob Huke was a British cinematographer known for his work on mid-20th-century films, including the 1962 war drama "The War Lover."
 E1126252 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: Bob Huke | Statement: [The War Lover, cinematographyBy, Bob Huke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bob Huke
Context triple: [The War Lover, cinematographyBy, Bob Huke]
  • A. Buck Houghton
    Buck Houghton was an American television producer best known for his work on the original series of The Twilight Zone.
  • B. Bill Haverchuck
    Bill Haverchuck is a socially awkward, deadpan, and endearingly nerdy high school student from the cult TV series "Freaks and Geeks," known for his love of comedy, sci-fi, and Dungeons & Dragons.
  • C. Bob Hines
    Bob Hines was an American wildlife artist and illustrator renowned for his detailed depictions of nature in scientific and environmental publications.
  • D. Dick Hantak
    Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
  • E. Jim Hutton
    Jim Hutton was an Irish hairdresser best known as the long-term partner of Queen frontman Freddie Mercury during the final years of Mercury’s life.
  • 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: Bob Huke
Triple: [The War Lover, cinematographyBy, Bob Huke]
Generated description
Bob Huke was a British cinematographer known for his work on mid-20th-century films, including the 1962 war drama "The War Lover."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bob Huke
Target entity description: Bob Huke was a British cinematographer known for his work on mid-20th-century films, including the 1962 war drama "The War Lover."
  • A. Buck Houghton
    Buck Houghton was an American television producer best known for his work on the original series of The Twilight Zone.
  • B. Bill Haverchuck
    Bill Haverchuck is a socially awkward, deadpan, and endearingly nerdy high school student from the cult TV series "Freaks and Geeks," known for his love of comedy, sci-fi, and Dungeons & Dragons.
  • C. Bob Hines
    Bob Hines was an American wildlife artist and illustrator renowned for his detailed depictions of nature in scientific and environmental publications.
  • D. Dick Hantak
    Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
  • E. Jim Hutton
    Jim Hutton was an Irish hairdresser best known as the long-term partner of Queen frontman Freddie Mercury during the final years of Mercury’s life.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b366470819093a74828e2a85116 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6c2b7ec08190ba0b4a30cbb738e8 completed May 8, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe6fff4f408190ac51668da19db284 completed May 8, 2026, 11:21 p.m.
Created at: April 9, 2026, 9:43 p.m.