Triple

T3056553
Position Surface form Disambiguated ID Type / Status
Subject Boogie Woogie Bugle Boy E60493 entity
Predicate lyricist P1360 FINISHED
Object Hughie Prince E323422 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: Hughie Prince | Statement: [Boogie Woogie Bugle Boy, lyricist, Hughie Prince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hughie Prince
Context triple: [Boogie Woogie Bugle Boy, lyricist, Hughie Prince]
  • A. Hughie Prince chosen
    Hughie Prince was an American songwriter and composer best known for co-writing the World War II-era hit "Boogie Woogie Bugle Boy."
  • B. Archibald Stuart
    Archibald Stuart was a 19th-century Virginia lawyer and politician who served in the U.S. House of Representatives and was the father of Confederate cavalry general J.E.B. Stuart.
  • C. Charles Scott
    Charles Scott was an American Revolutionary War general and the fourth governor of Kentucky, remembered as a prominent early political and military leader in the state’s history.
  • D. Hugh Montgomery
    Hugh Montgomery is a name shared by several notable historical figures, including soldiers, politicians, and nobility from the British Isles.
  • E. Richard Francis-Bruce
    Richard Francis-Bruce is an Australian film editor renowned for his work on major Hollywood action and drama films.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf7ebd48190ad5748a18fa9a56a completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8759f988190a69ca8a4682af5ba completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.