Triple

T14202341
Position Surface form Disambiguated ID Type / Status
Subject USA for Africa E351994 entity
Predicate hasMember P10 FINISHED
Object Kim Carnes E20578 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: Kim Carnes | Statement: [USA for Africa, hasMember, Kim Carnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Carnes
Context triple: [USA for Africa, hasMember, Kim Carnes]
  • A. Kim Carnes chosen
    Kim Carnes is an American singer-songwriter best known for her raspy voice and the 1981 hit single "Bette Davis Eyes."
  • B. Don James
    Don James was a highly successful American college football coach best known for leading the University of Washington Huskies to national prominence, including a share of the 1991 national championship.
  • C. Kenny Loggins
    Kenny Loggins is an American singer-songwriter best known for his soft rock hits and iconic 1980s movie soundtrack songs such as "Footloose" and "Danger Zone."
  • D. Dan Hill
    Dan Hill is a Canadian pop and soft rock singer-songwriter best known for his emotive ballads such as "Sometimes When We Touch."
  • E. Charlie Rich
    Charlie Rich was an American country and pop singer-songwriter and pianist, known for his smooth, genre-blending style and hits like "Behind Closed Doors" and "The Most Beautiful Girl."
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f589a08190b71ad4e69d92ffd0 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1951421c81908959634e66857b61 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.