Triple

T18553878
Position Surface form Disambiguated ID Type / Status
Subject Jack Cole E453449 entity
Predicate workedOn P3 FINISHED
Object Broadway musicals 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: Broadway musicals | Statement: [Jack Cole, workedOn, Broadway musicals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadway musicals
Context triple: [Jack Cole, workedOn, Broadway musicals]
  • A. Broadway theater chosen
    Broadway theater is a style of live, large-scale musical and dramatic performance associated with New York City’s famed theater district, known for its professional productions and cultural influence.
  • B. Broadway Music Theatre
    Broadway Music Theatre is a large, Broadway-style live entertainment venue in Tokyo DisneySea known for staging elaborate musical shows.
  • C. Broadway
    Broadway is a major thoroughfare that runs through the hamlet of Massapequa in Nassau County, New York.
  • D. Broadway
    Broadway is a major historic thoroughfare in Galveston, Texas, known for its grand 19th-century mansions and role as a prominent residential and cultural corridor.
  • E. Broadway
    Broadway is a major thoroughfare in San Francisco known for its nightlife, entertainment venues, and role as a key east–west street in the city.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5380341548190873eeb92f86bd6fe completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:38 a.m.