Triple

T7740932
Position Surface form Disambiguated ID Type / Status
Subject Miguel Herrán E175506 entity
Predicate hasNotableCollaboration P8554 FINISHED
Object Álvaro Morte E115621 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: Álvaro Morte | Statement: [Miguel Herrán, hasNotableCollaboration, Álvaro Morte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Álvaro Morte
Context triple: [Miguel Herrán, hasNotableCollaboration, Álvaro Morte]
  • A. Álvaro Morte chosen
    Álvaro Morte is a Spanish actor best known internationally for portraying "The Professor" in the hit series *Money Heist* (La Casa de Papel).
  • B. Miguel Gomez
    Miguel Gomez is an American actor best known for his role as boxer Miguel "Magic" Escobar in the 2015 sports drama film "Southpaw."
  • C. Javier Gullón
    Javier Gullón is a Spanish screenwriter best known for adapting José Saramago’s novel into the psychological thriller film "Enemy," directed by Denis Villeneuve.
  • D. Samu García
    Samu García is a Spanish professional footballer known for playing as a winger in La Liga.
  • E. Gerónimo Peña
    Gerónimo Peña is a former Dominican professional baseball second baseman who played in Major League Baseball in the 1990s, primarily for the St. Louis Cardinals.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035df9348190ad3f3d845207bf4d completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be4178408190850c284aab895442 completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.