Triple

T3360765
Position Surface form Disambiguated ID Type / Status
Subject We Are the World E70714 entity
Predicate vocalPerformanceBy P8086 FINISHED
Object Kenny Loggins E234795 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: Kenny Loggins | Statement: [We Are the World, vocalPerformanceBy, Kenny Loggins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenny Loggins
Context triple: [We Are the World, vocalPerformanceBy, Kenny Loggins]
  • A. Kenny Loggins chosen
    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."
  • B. Kim Carnes
    Kim Carnes is an American singer-songwriter best known for her raspy voice and the 1981 hit single "Bette Davis Eyes."
  • C. Peabo Bryson
    Peabo Bryson is an American R&B and soul singer best known for his powerful ballads and duets, including several hit Disney movie theme songs.
  • D. Michael McDonald
    Michael McDonald is an American singer, songwriter, and keyboardist known for his soulful baritone voice and work with the Doobie Brothers as well as a successful solo career.
  • E. Tom Bell
    Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb267ec1081909a4e3e227d5bad01 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32541ed808190aa7be7d0b7606426 completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.