Triple

T15390759
Position Surface form Disambiguated ID Type / Status
Subject Betty Suarez E368036 entity
Predicate familyMember P566 FINISHED
Object Ignacio Suarez 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: Ignacio Suarez | Statement: [Betty Suarez, familyMember, Ignacio Suarez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ignacio Suarez
Context triple: [Betty Suarez, familyMember, Ignacio Suarez]
  • A. Ignacio Suarez chosen
    Ignacio Suarez is a fictional character from the television series "Ugly Betty," portrayed as the caring and hardworking father of the show's protagonist, Betty Suarez.
  • B. Manuel Serrano
    Manuel Serrano is a computer scientist and software engineer best known for creating and maintaining the Bigloo Scheme compiler and contributing to programming language implementation and web programming tools.
  • C. Vicente Suárez
    Vicente Suárez was a young Mexican military cadet celebrated as one of the Niños Héroes for his heroic death defending Chapultepec Castle during the Mexican–American War.
  • D. Esteban Fuertes
    Esteban Fuertes is an Argentine former football striker best known as a prolific goal-scorer and idol of Club Atlético Colón.
  • E. Manuel Vega
    Manuel Vega is a designer best known for his work on the Moonman character.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7727a081908eff45bbc1633c8a completed April 16, 2026, 1:42 a.m.
Created at: April 10, 2026, 3:19 a.m.