Triple

T36114376
Position Surface form Disambiguated ID Type / Status
Subject Broadway production of Rodgers & Hammerstein's Cinderella E1044578 entity
Predicate starredReplacementCinderella P71399 FINISHED
Object Carly Rae Jepsen 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: Carly Rae Jepsen | Statement: [Broadway production of Rodgers & Hammerstein's Cinderella, starredReplacementCinderella, Carly Rae Jepsen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: starredReplacementCinderella
Context triple: [Broadway production of Rodgers & Hammerstein's Cinderella, starredReplacementCinderella, Carly Rae Jepsen]
  • A. treatmentOfCinderella
    Indicates how one party behaves toward or deals with Cinderella.
  • B. hasCinderellaReputation
    Indicates that an entity is regarded as an underdog or unlikely success story that surpasses expectations.
  • C. starsReunited
    Indicates that previously separated or former co-stars have come together again, such as reappearing or collaborating in a shared context.
  • D. starIs chosen
    Indicates that one entity is identified or classified as a star in relation to another entity or context.
  • E. originalStar
    Indicates that one entity is the initial or primary star from which another star or stellar object originates, is derived, or is otherwise based.
  • F. None of above.

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_69f76e344a4c8190af3858c6d78ba88f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b3e2f3c08190be4fd1ae4fa1266d completed May 3, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69f7b1bcc47081909fe7d592ac69006c completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:08 p.m.