Triple

T10592186
Position Surface form Disambiguated ID Type / Status
Subject Proud Mary E250018 entity
Predicate label P38 FINISHED
Object Fantasy Records E211003 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: Fantasy Records | Statement: [Proud Mary, label, Fantasy Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fantasy Records
Context triple: [Proud Mary, label, Fantasy Records]
  • A. Fantasy Records chosen
    Fantasy Records is an American independent record label best known for its influential jazz catalog, including releases by artists like Dave Brubeck and Vince Guaraldi.
  • B. Fascination Records
    Fascination Records is a British pop-focused record label known for signing and promoting mainstream pop acts such as girl group The Saturdays.
  • C. Fiction Records
    Fiction Records is a British record label best known for releasing influential alternative and rock music, including work by bands such as The Cure and Snow Patrol.
  • D. Festival Records
    Festival Records was a prominent Australian record label known for signing and releasing music by major artists such as Olivia Newton-John.
  • E. Fontana Records
    Fontana Records is a British record label known for releasing a wide range of pop, rock, and jazz recordings, particularly during the 1960s and 1970s.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277c79808190acc872919eadd126 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e85c49c8190a580536be07c0405 completed April 10, 2026, 8:33 p.m.
Created at: April 6, 2026, 12:40 p.m.