Triple

T16645662
Position Surface form Disambiguated ID Type / Status
Subject Mark Bennett E404461 entity
Predicate employer P7 FINISHED
Object Broadway productions 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 productions | Statement: [Mark Bennett, employer, Broadway productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadway productions
Context triple: [Mark Bennett, employer, Broadway productions]
  • 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
    Broadway is a major thoroughfare that runs through the hamlet of Massapequa in Nassau County, New York.
  • 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 street in the City of Westminster, central London, known for its government offices, proximity to Westminster landmarks, and nearby transport links.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad59540819093765b7a67320f72 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bf0900819092db11456eb8e1c0 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.