Triple

T20162016
Position Surface form Disambiguated ID Type / Status
Subject Mlle. Modiste E491730 entity
Predicate featuresSong P2152 FINISHED
Object Kiss Me Again NE NERFINISHED

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: Kiss Me Again | Statement: [Mlle. Modiste, featuresSong, Kiss Me Again]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiss Me Again
Context triple: [Mlle. Modiste, featuresSong, Kiss Me Again]
  • A. Kiss Me Again chosen
    Kiss Me Again is a romantic musical comedy operetta with lyrics by Otto Harbach, adapted from Victor Herbert’s earlier work Mlle. Modiste.
  • B. Kiss Me
    "Kiss Me" is a pop single by English singer Olly Murs, known for its catchy, upbeat style and romantic lyrics.
  • C. Kiss Me
    "Kiss Me" is a film featuring actress Vanessa Marquez in a notable role.
  • D. Kiss Me
    "Kiss Me" is the smooth, jazz-influenced theme song best known for its use in the opening credits of the classic American sitcom *The Cosby Show*.
  • E. Kiss Me
    "Kiss Me" is a 1998 romantic pop song by Sixpence None the Richer that became widely known for its prominent use in the teen film "She's All That."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e505888190a05e26a3c5a0ede1 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.