Triple

T14348975
Position Surface form Disambiguated ID Type / Status
Subject Ordeal by Innocence E355800 entity
Predicate castMember P1668 FINISHED
Object Crystal Clarke E908970 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: Crystal Clarke | Statement: [Ordeal by Innocence, castMember, Crystal Clarke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crystal Clarke
Context triple: [Ordeal by Innocence, castMember, Crystal Clarke]
  • A. Crystal Clarke chosen
    Crystal Clarke is an American actress known for her work in film and television, including roles in projects such as "Empire of Light" and the "Star Wars" sequel trilogy.
  • B. Jennifer Clarke
    Jennifer Clarke is the wife of Peter Clarke.
  • C. Claire Simpson
    Claire Simpson is an acclaimed British film editor known for her work on major feature films, including the historical drama "The Last Duel."
  • D. Claire Jennings
    Claire Jennings is a British film producer known for her work on acclaimed independent and genre films, including the 2017 psychological thriller "Breathe."
  • E. Clare Randell
    Clare Randell is the protagonist of the novel "Fair Game," around whom the story’s central conflicts and developments revolve.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46a12ad08190a2f0dc5890ed5ce9 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.