Triple

T22401817
Position Surface form Disambiguated ID Type / Status
Subject Sara Carbonero E553778 entity
Predicate hasChild P369 FINISHED
Object Martín Casillas Carbonero 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: Martín Casillas Carbonero | Statement: [Sara Carbonero, hasChild, Martín Casillas Carbonero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martín Casillas Carbonero
Context triple: [Sara Carbonero, hasChild, Martín Casillas Carbonero]
  • A. Martín Casillas Carbonero chosen
    Martín Casillas Carbonero is the son of legendary Spanish goalkeeper Iker Casillas and journalist Sara Carbonero.
  • B. Jose Aruego
    Jose Aruego was a Filipino lawyer and diplomat who served as part of the Philippines’ early postwar international representation, including at the founding conference of the United Nations.
  • C. Paco Cabezas
    Paco Cabezas is a Spanish film and television director and screenwriter known for his work in genre films and international productions.
  • D. Luis García
    Luis García is a common Spanish name shared by several notable figures, including professional footballers, a baseball player, and other public personalities.
  • E. Jesús Olmo
    Jesús Olmo is a Spanish screenwriter best known for co-writing the post-apocalyptic horror film "28 Weeks Later."
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.