Triple

T7319811
Position Surface form Disambiguated ID Type / Status
Subject Jorge Mas E168509 entity
Predicate name P16 FINISHED
Object Jorge Mas E168509 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: Jorge Mas | Statement: [Jorge Mas, name, Jorge Mas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jorge Mas
Context triple: [Jorge Mas, name, Jorge Mas]
  • A. Jorge Mas chosen
    Jorge Mas is an American businessman and sports executive best known as the managing owner and president of Major League Soccer club Inter Miami CF.
  • B. Fernando Grediaga
    Fernando Grediaga is a Mexican actor best known for his role in Alfonso Cuarón’s acclaimed film "Roma" (2018).
  • C. Gustavo Gimeno
    Gustavo Gimeno is a Spanish conductor known for his dynamic interpretations and leadership of major international orchestras.
  • D. Esteban Vicente
    Esteban Vicente was a Spanish-born American abstract expressionist painter and collage artist associated with the New York School.
  • E. Arturo Román
    Arturo Román is a fictional executive and recurring antagonist from the Spanish television series "Money Heist" (La Casa de Papel), known for his cowardly and self-serving behavior during the Royal Mint heist.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1a7a3c81909504eb711056f302 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856a22b208190821bcbf21a074bb8 completed March 28, 2026, 10:30 p.m.
Created at: March 27, 2026, 3:02 p.m.