Triple

T9058056
Position Surface form Disambiguated ID Type / Status
Subject David Bryan E217053 entity
Predicate wroteMusicFor P30214 FINISHED
Object Diana (musical) E774722 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: Diana (musical) | Statement: [David Bryan, wroteMusicFor, Diana (musical)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana (musical)
Context triple: [David Bryan, wroteMusicFor, Diana (musical)]
  • A. Diana (musical) chosen
    Diana is a Broadway musical that dramatizes the life and legacy of Diana, Princess of Wales, featuring music by Bon Jovi keyboardist David Bryan.
  • B. The Rest of Diana
    The Rest of Diana is an 18th-century mythological painting by French Rococo artist Carle Van Loo depicting the Roman goddess Diana in a moment of repose.
  • C. Torch Song
    "Torch Song" is a 1953 American musical drama film starring Joan Crawford as a demanding Broadway star whose life and career are challenged by a blind pianist.
  • D. Broadway Girls
    "Broadway Girls" is a 2021 country-trap fusion single by rapper Lil Durk featuring country artist Morgan Wallen that became a viral hit on streaming platforms.
  • E. Curtains (musical)
    Curtains is a comedic murder-mystery musical set in 1950s Boston, featuring music and lyrics by Kander and Ebb and a book by Rupert Holmes.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ec808bc8190957b80820d98fd5b completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0178be518819080bd6c8cf0a737e8 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:10 p.m.