Triple

T5760430
Position Surface form Disambiguated ID Type / Status
Subject Stay with Me E127076 entity
Predicate sampledIn P13406 FINISHED
Object Foolish E319110 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: Foolish | Statement: [Stay with Me, sampledIn, Foolish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foolish
Context triple: [Stay with Me, sampledIn, Foolish]
  • A. Foolish
    "Foolish" is a pop song by American singer Rebecca Black, known for continuing her evolution from viral fame toward more mature, independent music.
  • B. “Foolish” chosen
    “Foolish” is an R&B song produced by the Danish production duo Soulshock & Karlin, best known as the hit debut single by Ashanti.
  • C. Words of a Fool
    "Words of a Fool" is a song by the Bee Gees’ Barry Gibb, later re-recorded for his country-tinged album "Greenfields: The Gibb Brothers' Songbook, Vol. 1."
  • D. More Fool Me
    More Fool Me is the third volume of Stephen Fry’s memoirs, covering his rise to fame and struggles with addiction in the late 1980s and early 1990s.
  • E. Stoopid
    "Stoopid" is a high-energy hip hop track by rapper Tekashi 6ix9ine, known for its aggressive delivery and confrontational lyrics.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02938972c8190992149ea943f87bf completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e507d348190a983a4c127b78de0 completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:49 p.m.