Triple

T9167546
Position Surface form Disambiguated ID Type / Status
Subject Ann Miller E219998 entity
Predicate performedIn P795 FINISHED
Object Sugar Babies E25764 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: Sugar Babies | Statement: [Ann Miller, performedIn, Sugar Babies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar Babies
Context triple: [Ann Miller, performedIn, Sugar Babies]
  • A. Sugar Babies chosen
    Sugar Babies is a popular Broadway musical revue that nostalgically celebrates burlesque-style song, dance, and comedy.
  • B. Sugar Babydoll
    Sugar Babydoll was an early band associated with Courtney Love that served as a precursor to her later, more famous group Hole.
  • C. Sweet Baby
    Sweet Baby was a late-1980s East Bay pop-punk band known for its melodic, upbeat sound and association with the Berkeley punk scene.
  • D. Sugar Baby
    "Sugar Baby" is a country song by the American duo Love and Theft, featured on their self-titled 2012 album.
  • E. Somebody’s Baby
    "Somebody’s Baby" is a 1982 pop-rock song by Jackson Browne, best known for its appearance on the soundtrack of the film *Fast Times at Ridgemont High* and for becoming one of his biggest commercial hits.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaadfb50881909b9127f92e4b3e21 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0548b0e6c819090ece33b9ede9fa6 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.