Triple

T4242545
Position Surface form Disambiguated ID Type / Status
Subject Miguel E95446 entity
Predicate hasVariant P455 FINISHED
Object Miquel E114791 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: Miquel | Statement: [Miguel, hasVariant, Miquel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miquel
Context triple: [Miguel, hasVariant, Miquel]
  • A. Miquel chosen
    Miquel is a given name, commonly used in Catalan and other languages, that corresponds to the English name Michael.
  • B. Jordi
    "Jordi" is a studio album by American pop-rock band Maroon 5, known for its contemporary pop sound and collaborations with various guest artists.
  • C. Josep
    Josep "Pep" Guardiola is a highly successful Spanish football manager and former player, renowned for his innovative tactics and trophy-laden spells at clubs like FC Barcelona, Bayern Munich, and Manchester City.
  • D. Sergi
    Sergi is a masculine given name of Catalan origin, commonly used in Spain and other Catalan-speaking regions.
  • E. Miquel Barceló
    Miquel Barceló is a renowned contemporary Spanish painter and sculptor known for his experimental techniques and large-scale works, including major public art commissions.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e891bc08190831187da4f553f48 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a872fd6881908a3fbe37e7c35c92 completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:05 p.m.