Triple

T13702770
Position Surface form Disambiguated ID Type / Status
Subject Above the Law E328560 entity
Predicate director P255 FINISHED
Object Andrew Davis E660495 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: Andrew Davis | Statement: [Above the Law, director, Andrew Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Davis
Context triple: [Above the Law, director, Andrew Davis]
  • A. Andrew Davis chosen
    Andrew Davis is an American film director best known for action and adventure movies such as "The Fugitive" and the family film "Holes."
  • B. Andrew Davis
    Andrew Davis is a renowned British conductor celebrated for his leadership of major orchestras and opera companies, particularly in North America and the United Kingdom.
  • C. Ron Winston
    Ron Winston was a television director best known for his work on classic anthology series such as The Twilight Zone.
  • D. David Shire
    David Shire is an American composer best known for his film and television scores, including acclaimed work in the 1970s.
  • E. Gordon Douglas
    Gordon Douglas was an American film director known for his prolific work across genres in Hollywood from the 1930s through the 1970s.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79459192c81908132ad9813d69125 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.