Triple

T14210735
Position Surface form Disambiguated ID Type / Status
Subject Temazcal E352220 entity
Predicate composer P1361 FINISHED
Object Javier Álvarez E71004 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: Javier Álvarez | Statement: [Temazcal, composer, Javier Álvarez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javier Álvarez
Context triple: [Temazcal, composer, Javier Álvarez]
  • A. Javier Álvarez chosen
    Javier Álvarez is a Mexican composer known for his innovative use of electroacoustic techniques and incorporation of diverse musical styles into contemporary classical music.
  • B. Ángel Álvarez
    Ángel Álvarez was a Spanish character actor known for his supporting roles in mid-20th-century European cinema, particularly in Spaghetti Westerns.
  • C. Alfredo Álvarez
    Alfredo Álvarez is a Mexican former professional boxer known for competing in the welterweight and light middleweight divisions.
  • D. Álvaro Rodríguez
    Álvaro Rodríguez is a screenwriter best known for his work on genre films, including contributions to the From Dusk Till Dawn franchise.
  • E. Javier Navarrete
    Javier Navarrete is a Spanish film composer best known internationally for his haunting, Oscar-nominated score for Guillermo del Toro’s dark fantasy film Pan’s Labyrinth.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620dba0c8190bb77a1df10e1d3a7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15f2cd8819085f949fa5122af2a completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:05 a.m.