Triple

T19430283
Position Surface form Disambiguated ID Type / Status
Subject Joaquín Rodrigo E486092 entity
Predicate givenName P17 FINISHED
Object Joaquín NE NERFINISHED

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: Joaquín | Statement: [Joaquín Rodrigo, givenName, Joaquín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joaquín
Context triple: [Joaquín Rodrigo, givenName, Joaquín]
  • A. Joaquin chosen
    Joaquin is a masculine given name of Spanish origin, widely recognized through its association with acclaimed actor Joaquin Phoenix.
  • B. Alejandro Murrieta
    Alejandro Murrieta is the young, hot-headed bandit who becomes the new Zorro under the mentorship of the original hero in the film "The Mask of Zorro."
  • C. Guzman
    Guzman is a Spanish surname of likely toponymic origin that has been borne by numerous notable figures across history and the Spanish-speaking world.
  • D. Rey Rosales
    Rey Rosales is a fictional police detective on the soap opera "The Young and the Restless," known for his complex relationships and moral integrity.
  • E. Silvestre Reyes
    Silvestre Reyes is an American politician and former U.S. Representative from Texas who served as chair of the House Intelligence Committee.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321c774881908ba5bde20abd5adc completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.