Triple

T3509647
Position Surface form Disambiguated ID Type / Status
Subject Victoria Tennant E74163 entity
Predicate name P16 FINISHED
Object Victoria Tennant E74163 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: Victoria Tennant | Statement: [Victoria Tennant, name, Victoria Tennant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Tennant
Context triple: [Victoria Tennant, name, Victoria Tennant]
  • A. Victoria Tennant chosen
    Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
  • B. Joanna Blunt
    Joanna Blunt is the mother of British actress Emily Blunt and a member of the Blunt family connected to the entertainment industry.
  • C. Anita Radcliffe
    Anita Radcliffe is a kind-hearted, elegant young woman in Disney's "One Hundred and One Dalmatians," known as the human owner of Perdita and wife of Roger.
  • D. Catherine Durkan
    Catherine Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
  • E. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0e1f0c8190b054d9fba16ce4b3 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432f87bc4819087bb8e441c50a503 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:18 p.m.