Triple

T19797324
Position Surface form Disambiguated ID Type / Status
Subject Tharon Musser E475576 entity
Predicate activeIn P1560 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: [Tharon Musser, activeIn, Broadway musicals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadway musicals
Context triple: [Tharon Musser, activeIn, 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c877288190b56ee7eedea710a3 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.