Triple

T1801427
Position Surface form Disambiguated ID Type / Status
Subject The Bulldog Breed E39726 entity
Predicate cinematography P1953 FINISHED
Object Jack Asher E201481 NE FINISHED

How this triple was built (2 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: Jack Asher | Statement: [The Bulldog Breed, cinematography, Jack Asher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Asher
Context triple: [The Bulldog Breed, cinematography, Jack Asher]
  • A. Jack Asher chosen
    Jack Asher was a British cinematographer best known for his atmospheric, color-rich work on classic Hammer horror films of the 1950s and 1960s.
  • B. L. Neil Smith
    L. Neil Smith was an American libertarian science fiction author and activist known for his pro-freedom themes and influential role in promoting libertarian ideas within speculative fiction.
  • C. Piers Anthony
    Piers Anthony is a British-American fantasy and science fiction author best known for his long-running Xanth series.
  • D. F. Paul Wilson
    F. Paul Wilson is an American author best known for his science fiction, horror, and thriller novels, including the "Repairman Jack" series.
  • E. Rand Brooks
    Rand Brooks was an American film and television actor best known for his roles in classic Hollywood productions such as "Gone with the Wind" and numerous Westerns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa656ad5d4819090e677ad137b0cd1 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c192f08190a1a134e541be1103 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:32 p.m.