Triple

T7142744
Position Surface form Disambiguated ID Type / Status
Subject Declan Gaffney E166487 entity
Predicate collaboratedWith P435 FINISHED
Object Daniel Lanois E124296 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: Daniel Lanois | Statement: [Declan Gaffney, collaboratedWith, Daniel Lanois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Lanois
Context triple: [Declan Gaffney, collaboratedWith, Daniel Lanois]
  • A. Daniel Lanois chosen
    Daniel Lanois is a Canadian record producer, musician, and songwriter renowned for his atmospheric, textural production work with artists such as U2, Bob Dylan, and Peter Gabriel.
  • B. Mitchell Froom
    Mitchell Froom is an American record producer and musician known for his innovative, atmospheric work with artists such as Crowded House, Suzanne Vega, and Los Lobos.
  • C. Butch Vig
    Butch Vig is an American record producer and musician best known for producing Nirvana's landmark album "Nevermind" and as the drummer for the alternative rock band Garbage.
  • D. David Shaw
    David Shaw is an American football coach best known for his successful tenure as head coach of Stanford University's football program in the 2010s.
  • E. David Shaw
    David Shaw was an American screenwriter known for his work in mid-20th-century film and television.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e779ace48190be9c33750e60a79e completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad98576481908b8b82f675079fca completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:45 p.m.