Triple

T15206819
Position Surface form Disambiguated ID Type / Status
Subject Walter Connolly E363409 entity
Predicate appearedIn P795 FINISHED
Object Broadway Bill E191716 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 Bill | Statement: [Walter Connolly, appearedIn, Broadway Bill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadway Bill
Context triple: [Walter Connolly, appearedIn, Broadway Bill]
  • A. Broadway Bill chosen
    Broadway Bill is a 1934 American comedy film, co-written by Robert Riskin and Frank Capra, about a businessman who risks everything to race his beloved horse.
  • B. Broadway Joe
    Broadway Joe is the flamboyant Hall of Fame NFL quarterback Joe Namath, famed for his bold Super Bowl III guarantee and larger-than-life New York celebrity persona.
  • C. Mr. Broadway
    Mr. Broadway is the nickname of George Abbott, the legendary American theater producer, director, and playwright who shaped much of 20th-century Broadway.
  • D. On Broadway
    "On Broadway" is a jazz-infused cover of the classic song popularized by George Benson, known for its virtuosic guitar work and smooth vocal style.
  • E. On Broadway
    "On Broadway" is a poem by Claude McKay that vividly portrays the allure and alienation of urban life in early 20th-century New York City.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b7964c8190bc8dc3444b94f15e completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33dbda08190a10ba81082d0d183 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.