Triple

T12108474
Position Surface form Disambiguated ID Type / Status
Subject Valley of the Dolls E288361 entity
Predicate stars P1956 FINISHED
Object Paul Burke E325778 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: Paul Burke | Statement: [Valley of the Dolls, stars, Paul Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Burke
Context triple: [Valley of the Dolls, stars, Paul Burke]
  • A. Paul Burke chosen
    Paul Burke was an American actor best known for his television roles in series like "Naked City" and "12 O'Clock High," as well as appearances in notable films of the 1960s.
  • B. Paul Burke
    Paul Burke is a musician best known as a member of the Scottish alternative rock band Beecake.
  • C. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • D. David J. Burke
    David J. Burke is a television producer and writer best known for his work as an executive producer on the science fiction series SeaQuest DSV.
  • E. Michael Buckley
    Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915632dc48190863e0239cef37e24 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e46d588819086bfde1b544cab82 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.