Triple

T5042689
Position Surface form Disambiguated ID Type / Status
Subject Hard Contract E113581 entity
Predicate cinematographyBy P1953 FINISHED
Object Billy Williams E358152 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: Billy Williams | Statement: [Hard Contract, cinematographyBy, Billy Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billy Williams
Context triple: [Hard Contract, cinematographyBy, Billy Williams]
  • A. Billy Williams
    Billy Williams is a Hall of Fame left fielder best known for his long, productive career with the Chicago Cubs during the 1960s and 1970s.
  • B. Billy Williams chosen
    Billy Williams is an acclaimed British cinematographer best known for his Oscar-winning work on films such as "Gandhi" and his influential contributions to visual storytelling in cinema.
  • C. Gary Willis
    Gary Willis is a fictional character appearing in the film "Red Dust."
  • D. George Brett
    George Brett is a Hall of Fame third baseman widely regarded as one of the greatest hitters in Major League Baseball history.
  • E. Fred Lynn
    Fred Lynn is a former Major League Baseball outfielder best known for his stellar rookie season with the Boston Red Sox, during which he won both the MVP and Rookie of the Year awards.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73df8f7481909a8b86c4ae69aab9 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c87455081908b759eed55730503 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.