Triple

T13118177
Position Surface form Disambiguated ID Type / Status
Subject Vivien Merchant E311150 entity
Predicate name P16 FINISHED
Object Vivien Merchant E311150 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: Vivien Merchant | Statement: [Vivien Merchant, name, Vivien Merchant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivien Merchant
Context triple: [Vivien Merchant, name, Vivien Merchant]
  • A. Vivien Merchant chosen
    Vivien Merchant was an English stage and film actress known for her intense performances in British drama during the 1960s and 1970s.
  • B. Marie Windsor
    Marie Windsor was an American character actress best known for her tough, sultry roles in film noir and B-movies during the 1940s and 1950s.
  • C. Celia Johnson
    Celia Johnson was a distinguished English actress best known for her nuanced, understated performances in classic British films such as "Brief Encounter."
  • D. Eileen Le Mesurier
    Eileen Le Mesurier was the mother of British journalist and spy Jeremy Wolfenden, connected to mid-20th-century British intellectual and diplomatic circles.
  • E. Flora Robson
    Flora Robson was a distinguished British actress known for her powerful character roles in both stage and film, often portraying strong, authoritative women.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98182011c8190a504678affbb7787 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7696f0819094825b158e1e9a8c completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:06 p.m.