Triple

T13995991
Position Surface form Disambiguated ID Type / Status
Subject Living for the Weekend E336696 entity
Predicate producer P490 FINISHED
Object Quiz & Larossi E1074184 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: Quiz & Larossi | Statement: [Living for the Weekend, producer, Quiz & Larossi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quiz & Larossi
Context triple: [Living for the Weekend, producer, Quiz & Larossi]
  • A. Quiz & Larossi chosen
    Quiz & Larossi are a music production and songwriting duo known for crafting pop and dance tracks for various international artists.
  • B. Paoletti
    Paoletti is an Italian surname, likely related etymologically or familiarly to the name Paolone.
  • C. LoPizzo
    LoPizzo is an Italian-origin surname most notably associated with Anna LoPizzo, a labor activist killed during the 1912 Lawrence textile strike in the United States.
  • D. Cruppi
    Cruppi is a French surname most notably associated with Jean Cruppi, a prominent early 20th-century French politician and statesman.
  • E. Rusconi
    Rusconi was a researcher who formally described the Chacoan peccary, a rare South American pig-like mammal once thought to be extinct.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb53f508190855cd69b8061dd77 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0934b74819094ec7309c23a3e2a completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:19 p.m.