Triple

T23135813
Position Surface form Disambiguated ID Type / Status
Subject Firas Zahabi E577316 entity
Predicate hasTrainee P36609 FINISHED
Object Miguel Torres 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: Miguel Torres | Statement: [Firas Zahabi, hasTrainee, Miguel Torres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel Torres
Context triple: [Firas Zahabi, hasTrainee, Miguel Torres]
  • A. Miguel Torres chosen
    Miguel Torres is an American mixed martial artist best known for his reign as WEC bantamweight champion and his technical, aggressive fighting style.
  • B. Santiago Marraco
    Santiago Marraco is a Spanish politician best known for having served as President of the autonomous community of Aragon.
  • C. Miguel Atristain
    Miguel Atristain was a Mexican political figure involved in the mid-19th-century negotiations that concluded the Mexican–American War.
  • D. Javier Casalla
    Javier Casalla is an Argentine violinist and composer best known as a core member of the neo-tango collective Bajofondo.
  • E. Javier Rojo
    Javier Rojo is a Spanish politician who served as President of the Senate of Spain and has been a prominent member of the Spanish Socialist Workers' Party (PSOE).
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8b694c8190b9ead00ea0576d90 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.