Triple

T23429424
Position Surface form Disambiguated ID Type / Status
Subject Héctor Alterio E563284 entity
Predicate child P120 FINISHED
Object Malena Alterio 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: Malena Alterio | Statement: [Héctor Alterio, child, Malena Alterio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malena Alterio
Context triple: [Héctor Alterio, child, Malena Alterio]
  • A. Malena Alterio chosen
    Malena Alterio is an Argentine-Spanish actress best known for her work in Spanish television comedies and films.
  • B. Isabel Sarli
    Isabel Sarli was an iconic Argentine actress and sex symbol best known for her starring roles in erotic films of the 1950s–1970s directed by Armando Bó.
  • C. Romina Carrisi
    Romina Carrisi is an Italian actress, writer, and television personality, best known as the daughter of singers Romina Power and Al Bano.
  • D. Adriana Novelli
    Adriana Novelli is an editor known for her work on the film "Two Women."
  • E. Lucía Maraz
    Lucía Maraz is a central fictional character in Isabel Allende’s novel "In the Midst of Winter," a Chilean academic whose past and present intertwine with themes of exile, love, and political trauma.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d6d1c881908e3c4ac0e7cd30cd completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:48 p.m.