Triple

T5075252
Position Surface form Disambiguated ID Type / Status
Subject Isabel E114378 entity
Predicate hasNotableBearer P458 FINISHED
Object Isabel Coixet E388953 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: Isabel Coixet | Statement: [Isabel, hasNotableBearer, Isabel Coixet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel Coixet
Context triple: [Isabel, hasNotableBearer, Isabel Coixet]
  • A. Isabel Coixet chosen
    Isabel Coixet is a Spanish film director and screenwriter known for her intimate, character-driven dramas and international co-productions such as "My Life Without Me" and "The Secret Life of Words."
  • B. Sebastián Lelio
    Sebastián Lelio is a Chilean filmmaker acclaimed for his character-driven dramas such as "Gloria" and the Oscar-winning "A Fantastic Woman."
  • C. Antonio Campos
    Antonio Campos is an American filmmaker known for his dark, character-driven dramas and thrillers, including works like "The Devil All the Time" and "Christine."
  • D. Almodôvar
    Almodôvar is a rural municipality in southern Portugal known for its traditional Alentejo landscapes, cork oak forests, and historic village center.
  • E. Susanne Bier
    Susanne Bier is an acclaimed Danish film director known for her emotionally intense dramas and the Academy Award-winning film "In a Better World."
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d2243481908c1ae62f7123c4e9 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb121fa388190ab3909d20f014b6f completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.