Triple

T11565588
Position Surface form Disambiguated ID Type / Status
Subject Juan J. Linz E274243 entity
Predicate givenName P17 FINISHED
Object Juan José E241050 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: Juan José | Statement: [Juan J. Linz, givenName, Juan José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan José
Context triple: [Juan J. Linz, givenName, Juan José]
  • A. Juan José chosen
    Juan José is a Spanish given name commonly used in Hispanic countries, often as a compound first name.
  • B. Eduardo Luis
    Eduardo Luis is an actor known for playing the character Trash.
  • C. Juan José de O’Donojú
    Juan José de O’Donojú was the last Spanish jefe político superior of New Spain, whose negotiations with insurgent leaders in 1821 effectively recognized Mexican independence and ended Spanish rule.
  • D. Juan Modesto
    Juan Modesto was a prominent Spanish Republican general during the Spanish Civil War, known for leading key offensives and commanding major army units.
  • E. Juan Antonio
    Juan Antonio is a charismatic Spanish painter and romantic lead in the film "Vicky Cristina Barcelona," whose passionate relationships drive much of the movie’s drama.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd321f88190a57ecaf079fbbc3f completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713bcc0048190bec14ac4ab84d51d completed April 21, 2026, 6:05 a.m.
Created at: April 8, 2026, 9:37 p.m.