Triple

T18028513
Position Surface form Disambiguated ID Type / Status
Subject Diana Patricia Hiddleston E431324 entity
Predicate name P16 FINISHED
Object Diana Patricia Hiddleston NE NERFINISHED

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: Diana Patricia Hiddleston | Statement: [Diana Patricia Hiddleston, name, Diana Patricia Hiddleston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Patricia Hiddleston
Context triple: [Diana Patricia Hiddleston, name, Diana Patricia Hiddleston]
  • A. Diana Patricia Hiddleston chosen
    Diana Patricia Hiddleston is the mother of English actor Tom Hiddleston.
  • B. Emma Hiddleston
    Emma Hiddleston is a British actress and the younger sister of actor Tom Hiddleston.
  • C. Sarah Hiddleston
    Sarah Hiddleston is best known as the sister of British actor Tom Hiddleston.
  • D. Saskia Reeves
    Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
  • E. Emma Watson
    Emma Watson is a British actress and activist best known for playing Hermione Granger in the Harry Potter film series and for her advocacy on gender equality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be332a7081909124abdd98430a8a completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.