Triple

T16124576
Position Surface form Disambiguated ID Type / Status
Subject Juan Antonio E391233 entity
Predicate romanticallyInvolvedWith P9994 FINISHED
Object María Elena 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: María Elena | Statement: [Juan Antonio, romanticallyInvolvedWith, María Elena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: María Elena
Context triple: [Juan Antonio, romanticallyInvolvedWith, María Elena]
  • A. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • B. María Elena chosen
    María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
  • C. Luz María
    Luz María is a popular 1990s Colombian telenovela, best known for starring Angie Cepeda in a leading role.
  • D. Marivi Lorido García
    Marivi Lorido García is a film producer best known as the longtime wife of Cuban-American actor Andy García.
  • E. Adela Medrano
    Adela Medrano is known as the former wife of acclaimed Spanish film director Carlos Saura.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
Created at: April 10, 2026, 5 a.m.