Triple

T10718580
Position Surface form Disambiguated ID Type / Status
Subject Twice E252751 entity
Predicate notableWork P4 FINISHED
Object Fancy E590165 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: Fancy | Statement: [Twice, notableWork, Fancy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fancy
Context triple: [Twice, notableWork, Fancy]
  • A. Fancy
    "Fancy" is a hip-hop track by American producer and rapper Swizz Beatz, known for its energetic production and club-oriented sound.
  • B. "Fancy"
    "Fancy" is a popular country song, originally recorded by Bobbie Gentry and later famously covered by Reba McEntire, that tells the rags-to-riches story of a young woman overcoming poverty through controversial means.
  • C. Finesse
    "Finesse" is a retro-inspired R&B and new jack swing song by Bruno Mars, widely recognized for its 1990s aesthetic and popular remix featuring Cardi B.
  • D. Lofty
    Lofty is the nickname of Nat Lofthouse, the legendary English footballer famed for his prolific goal-scoring with Bolton Wanderers and England in the mid-20th century.
  • E. The Glamour
    The Glamour is a psychological science fiction novel by Christopher Priest that explores identity, perception, and reality through an unreliable narrator and shifting layers of memory.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff36558c81908682adbe7b5dce05 completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb71dd6f88190beb99ca75914fb09 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.