Triple

T7986137
Position Surface form Disambiguated ID Type / Status
Subject Kelis Was Here E185685 entity
Predicate hasPart P35 FINISHED
Object Bossy E182348 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: Bossy | Statement: [Kelis Was Here, hasPart, Bossy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bossy
Context triple: [Kelis Was Here, hasPart, Bossy]
  • A. Bossy chosen
    Bossy is a surname most famously associated with Mike Bossy, the legendary Canadian ice hockey goal-scorer for the New York Islanders.
  • B. Sassy
    Sassy is the nickname of Sarah Vaughan, the legendary American jazz singer renowned for her rich, expressive voice and virtuosic vocal technique.
  • C. Boss Bitch
    "Boss Bitch" is a high-energy hip hop/pop-rap song by Doja Cat known for its assertive lyrics and inclusion on the "Birds of Prey" film soundtrack.
  • D. The Boss
    The Boss is the famous nickname of American rock musician Bruce Springsteen, renowned for his powerful live performances and working-class anthems.
  • E. The Boss
    The Boss was the domineering and famously hands-on principal owner of the New York Yankees, known for his aggressive management style and frequent managerial changes.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4b87e48190a797f5363c8f0a04 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0e6f3c48190a0132fa90eec6420 completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:15 p.m.