Triple

T2436935
Position Surface form Disambiguated ID Type / Status
Subject Tom Hardy E52981 entity
Predicate spouse P13 FINISHED
Object Charlotte Riley E173400 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: Charlotte Riley | Statement: [Tom Hardy, spouse, Charlotte Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Riley
Context triple: [Tom Hardy, spouse, Charlotte Riley]
  • A. Charlotte Riley chosen
    Charlotte Riley is an English actress known for her roles in film and television, including appearances in major productions such as "Edge of Tomorrow" and the TV series "Peaky Blinders."
  • B. Christina Knight
    Christina Knight is one of the children of Phil Knight, the co-founder of Nike and prominent American business magnate.
  • C. Jane Nugent
    Jane Nugent was the wife of influential Irish statesman and political philosopher Edmund Burke, known primarily through her association with his life and career.
  • D. Sarah Eaves
    Sarah Eaves was the partner and later wife of the renowned English printer and typographer John Baskerville, closely involved in his household and business affairs.
  • E. Lucinda Coxon
    Lucinda Coxon is a British playwright and screenwriter known for her work on films such as "The Danish Girl" and various stage adaptations.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f342e88190a430b02842ded418 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cd7deac8190af5470c900ad44c1 completed March 9, 2026, 11:50 p.m.
Created at: March 6, 2026, 9:43 p.m.