Triple

T9769867
Position Surface form Disambiguated ID Type / Status
Subject The Merseybeats E237094 entity
Predicate notableMember P10 FINISHED
Object Billy Kinsley E823140 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: Billy Kinsley | Statement: [The Merseybeats, notableMember, Billy Kinsley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billy Kinsley
Context triple: [The Merseybeats, notableMember, Billy Kinsley]
  • A. Billy Kinsley chosen
    Billy Kinsley is an English musician best known as a founding member, vocalist, and bassist of the 1960s Merseybeat band The Merseybeats.
  • B. Billy Kearns
    Billy Kearns was an American character actor known for his supporting roles in mid-20th-century film and television.
  • C. Billy Talbot
    Billy Talbot is an American bassist best known as a founding member of Neil Young’s backing band Crazy Horse.
  • D. Billy Cranston
    Billy Cranston is a fictional character best known as the original Blue Ranger and resident tech genius in the Mighty Morphin Power Rangers franchise.
  • E. Dan Jinks
    Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f1dea08190b89bcc192b068c66 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5a4a88c8190bac0a2bff02804dc completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:26 p.m.