Triple

T442696
Position Surface form Disambiguated ID Type / Status
Subject Carles Gil E10148 entity
Predicate givenName P17 FINISHED
Object Carles E10148 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: Carles | Statement: [Carles Gil, givenName, Carles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carles
Context triple: [Carles Gil, givenName, Carles]
  • A. 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.
  • B. Carles Gil chosen
    Carles Gil is a Spanish attacking midfielder best known as the creative playmaker and captain of the New England Revolution in Major League Soccer.
  • C. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • D. Jordi Fernández
    Jordi Fernández is a Spanish professional basketball coach known for his roles as an NBA assistant and international head coach, including leading the Canadian national team.
  • E. Eusebio Lillo
    Eusebio Lillo was a 19th-century Chilean poet and politician best known as the author of the lyrics of Chile’s national anthem.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef42b4008190abed9d79926c7022 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e73555481909fc972eed3337945 completed March 1, 2026, 1:26 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.