Triple

T977084
Position Surface form Disambiguated ID Type / Status
Subject High Tide (1987 film) E21077 entity
Predicate screenwriter P2831 FINISHED
Object Laura Jones E224281 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: Laura Jones | Statement: [High Tide (1987 film), screenwriter, Laura Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Jones
Context triple: [High Tide (1987 film), screenwriter, Laura Jones]
  • A. Laura Jones chosen
    Laura Jones is an Australian screenwriter known for her work on acclaimed films such as "High Tide" (1987) and several literary adaptations.
  • B. Serene Jones
    Serene Jones is a prominent American theologian and academic leader who serves as president of Union Theological Seminary in New York City.
  • C. Emily Carmichael
    Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
  • D. Lisa Lucas
    Lisa Lucas is an American publishing executive and literary advocate who became the first Black woman to lead Pantheon and Schocken Books after previously serving as executive director of the National Book Foundation.
  • E. Laura Jarrett
    Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46344048190b7a13b8f3ad9f455 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1f9fcac481909cb3f6c6dc681e60 completed March 9, 2026, 1:17 a.m.
Created at: March 1, 2026, 7:40 p.m.