Triple

T22390380
Position Surface form Disambiguated ID Type / Status
Subject La Copa de la Vida E553495 entity
Predicate writer P1360 FINISHED
Object Desmond Child NE NERFINISHED

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: Desmond Child | Statement: [La Copa de la Vida, writer, Desmond Child]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Desmond Child
Context triple: [La Copa de la Vida, writer, Desmond Child]
  • A. Desmond Child chosen
    Desmond Child is an American songwriter and producer renowned for crafting numerous rock and pop hits for artists like Bon Jovi, Aerosmith, and Ricky Martin.
  • B. Lee Eastman
    Lee Eastman was an American entertainment lawyer best known for representing and advising Paul McCartney and other prominent musicians.
  • C. Ashley Gorley
    Ashley Gorley is a prolific American country music songwriter and producer known for penning numerous chart-topping hits for major Nashville artists.
  • D. Ken Hood
    Ken Hood is the protagonist of the film "Welcome to L.A.," around whom the story’s interpersonal and emotional dynamics revolve.
  • E. Louis Mellis
    Louis Mellis is a British screenwriter best known for co-writing the acclaimed crime film "Sexy Beast."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15859853c8190b849cb34a94106da completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.