Triple

T10470114
Position Surface form Disambiguated ID Type / Status
Subject Biutiful E246901 entity
Predicate screenwriter P2831 FINISHED
Object Nicolás Giacobone E287167 NE FINISHED

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: Nicolás Giacobone | Statement: [Biutiful, screenwriter, Nicolás Giacobone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolás Giacobone
Context triple: [Biutiful, screenwriter, Nicolás Giacobone]
  • A. Nicolás Giacobone chosen
    Nicolás Giacobone is an Argentine screenwriter best known for co-writing the Academy Award–winning film "Birdman or (The Unexpected Virtue of Ignorance)."
  • B. Nicolás Casariego
    Nicolás Casariego is a Spanish writer and screenwriter known for co-writing the acclaimed survival drama film "Society of the Snow."
  • C. Nicolás Romero
    Nicolás Romero is a municipality in the State of Mexico, Mexico, known as a largely urban and industrial area within the northwestern part of the Mexico City metropolitan region.
  • D. Martín Carrera
    Martín Carrera is a Mexico City Metro station that serves as a key terminal and transfer point in the network.
  • E. Lisandro López
    Lisandro López is an Argentine footballer best known as a prolific forward and iconic captain for Racing Club de Avellaneda.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092fa6048190b26d481ddc3e3ec2 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ffdfd988190a37b3444d096e678 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.