Triple

T19169778
Position Surface form Disambiguated ID Type / Status
Subject Sidney Miller E469287 entity
Predicate name P16 FINISHED
Object Sidney Miller NE NERFINISHED

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: Sidney Miller | Statement: [Sidney Miller, name, Sidney Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney Miller
Context triple: [Sidney Miller, name, Sidney Miller]
  • A. Sidney Miller chosen
    Sidney Miller was a person significant enough in the history or founding of Millerton, New York, that the village was named in his honor.
  • B. JP Miller
    JP Miller was an American screenwriter and playwright best known for his hard-hitting television dramas and the film adaptation of "Days of Wine and Roses."
  • C. Ty Miller
    Ty Miller is an American actor best known for his role as The Kid in the television western series "The Young Riders."
  • D. Lou Miller
    Lou Miller is a skilled and composed criminal mastermind and Debbie Ocean’s trusted right-hand partner in the heist film "Ocean’s 8."
  • E. Joe Miller
    Joe Miller is a lawyer in the film "Philadelphia" who overcomes his own prejudices to defend an AIDS-stricken attorney in a landmark discrimination case.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f162ac648190a5f60c6a77b68304 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.