Triple

T14329350
Position Surface form Disambiguated ID Type / Status
Subject Another Me E355300 entity
Predicate screenwriter P2831 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: [Another Me, screenwriter, Isabel Coixet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel Coixet
Context triple: [Another Me, screenwriter, 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. Larraín
    Larraín is a prominent Chilean surname associated with an influential family involved in the country’s political, economic, and cultural life.
  • D. 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."
  • E. Lone Scherfig
    Lone Scherfig is a Danish film director and screenwriter known for her character-driven dramas and romantic comedies, including the acclaimed film "An Education."
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1def0081908f03cda8e84d20c0 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c3d20688190973e37ca38b4afe0 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:13 a.m.