Triple

T12101497
Position Surface form Disambiguated ID Type / Status
Subject Summer: The Donna Summer Musical E288200 entity
Predicate mainSubject P3 FINISHED
Object Donna Summer E93370 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: Donna Summer | Statement: [Summer: The Donna Summer Musical, mainSubject, Donna Summer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donna Summer
Context triple: [Summer: The Donna Summer Musical, mainSubject, Donna Summer]
  • A. Donna Summer chosen
    Donna Summer was an American singer, songwriter, and “Queen of Disco” whose powerful vocals and string of 1970s and 1980s dance hits made her an icon of popular music.
  • B. Gloria Gaynor
    Gloria Gaynor is an American disco and soul singer best known for her iconic 1978 hit "I Will Survive," a defining anthem of resilience and empowerment.
  • C. Barbara West
    Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
  • D. Minnie Riperton
    Minnie Riperton was an American soul singer best known for her five-octave vocal range and the 1975 hit single "Lovin' You."
  • E. Denise Ream
    Denise Ream is a film producer known for her work on major animated features, including Pixar's "Elemental."
  • 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_69d9155576b48190849f0c3e079a935f completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f674eab481909859b5403741eddd completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.