Triple

T2294793
Position Surface form Disambiguated ID Type / Status
Subject William Friedkin E51585 entity
Predicate directed P7373 FINISHED
Object Blue Chips E171790 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: Blue Chips | Statement: [William Friedkin, directed, Blue Chips]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Chips
Context triple: [William Friedkin, directed, Blue Chips]
  • A. Blue Chips chosen
    Blue Chips is a 1994 sports drama film about college basketball corruption, directed by William Friedkin and starring Nick Nolte alongside NBA players including Shaquille O'Neal.
  • B. Wall Street West
    Wall Street West is a major financial district centered in Jersey City, New Jersey, that serves as a significant extension and backup hub for New York City's Wall Street.
  • C. Big Blue
    Big Blue is the costumed mascot character representing Bluefield State University at its athletic events and campus activities.
  • D. Big Blue
    Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
  • E. The Balance
    The Balance is a personal finance website that provides practical advice, educational content, and tools to help individuals manage money, investing, and financial planning.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5da667881909186adf23a2bd45b completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f2654e4819090dea196cf38652e completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:49 p.m.