Triple

T4128900
Position Surface form Disambiguated ID Type / Status
Subject Urs Bühler E84991 entity
Predicate memberOf P10 FINISHED
Object Il Divo E244944 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: Il Divo | Statement: [Urs Bühler, memberOf, Il Divo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Il Divo
Context triple: [Urs Bühler, memberOf, Il Divo]
  • A. Il Divo chosen
    Il Divo is a multinational classical crossover vocal group known for blending operatic technique with popular songs in multiple languages.
  • B. Diva
    "Diva" is a swaggering, club-ready R&B/pop track by Beyoncé that celebrates female confidence and star power.
  • C. Made in Heaven
    Made in Heaven is a controversial series of sexually explicit sculptures and photographs by Jeff Koons that explores themes of celebrity, desire, and the commercialization of intimacy.
  • D. Viva
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • E. Viva
    Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af021c5ca48190a829bab07dda55d0 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576bc48f0819081ac3f921736854f completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:42 p.m.