Triple

T5360790
Position Surface form Disambiguated ID Type / Status
Subject Naomi Watts E103014 entity
Predicate workedWithDirector P19638 FINISHED
Object J.A. Bayona E16130 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: J.A. Bayona | Statement: [Naomi Watts, workedWithDirector, J.A. Bayona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J.A. Bayona
Context triple: [Naomi Watts, workedWithDirector, J.A. Bayona]
  • A. J. A. Bayona chosen
    J. A. Bayona is a Spanish film director known for visually striking, emotionally intense works such as "The Orphanage," "The Impossible," and "A Monster Calls."
  • B. Carlos Saldanha
    Carlos Saldanha is a Brazilian animator and film director best known for co-directing the Ice Age films and directing the Rio animated franchise.
  • C. Gareth Edwards
    Gareth Edwards is a British filmmaker known for directing large-scale science fiction and monster films such as "Monsters," "Godzilla" (2014), and "Rogue One: A Star Wars Story."
  • D. Gareth Edwards
    Gareth Edwards is a Welsh former rugby union scrum-half widely regarded as one of the greatest rugby players of all time.
  • E. Guillermo del Toro
    Guillermo del Toro is an acclaimed Mexican filmmaker known for his visually rich, genre-blending fantasy and horror films such as Pan's Labyrinth and The Shape of Water.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86588af081908c846fcde65724da completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70cca6cc81909e792f109410f816 completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 2:02 p.m.