Triple

T7080486
Position Surface form Disambiguated ID Type / Status
Subject Henry George de Mille E164938 entity
Predicate wroteFor P1996 FINISHED
Object Broadway theatre E311774 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: Broadway theatre | Statement: [Henry George de Mille, wroteFor, Broadway theatre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadway theatre
Context triple: [Henry George de Mille, wroteFor, Broadway theatre]
  • 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 Theatre
    Broadway Theatre is a historic community cinema and performing arts venue in Saskatoon known for independent films, live events, and cultural programming.
  • C. 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.
  • D. 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.
  • E. Broadway
    Broadway is a major thoroughfare that runs through the hamlet of Massapequa in Nassau County, New York.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4f063488190b9e1c614a9294bd1 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8a1d788190b9ad25d6e6c460f7 completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:40 p.m.