Triple

T10182688
Position Surface form Disambiguated ID Type / Status
Subject Robert Armstrong E236825 entity
Predicate spouseOf P13 FINISHED
Object Claire Louise E236825 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: Claire Louise | Statement: [Robert Armstrong, spouseOf, Claire Louise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Louise
Context triple: [Robert Armstrong, spouseOf, Claire Louise]
  • A. Claire Louise chosen
    Claire Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
  • B. Claire Marie
    Claire Marie was a small early 20th-century avant-garde publishing imprint associated with experimental modernist literature.
  • C. Claire
    Claire is a feminine given name of French origin meaning "clear" or "bright," commonly used in English-speaking countries.
  • D. Claire
    Claire is a sharp-tongued, alcoholic sister whose acerbic wit and emotional volatility provide both dark humor and tension in Edward Albee’s play "A Delicate Balance."
  • E. Claire Stenwick
    Claire Stenwick is a cunning former CIA officer turned corporate spy, portrayed by Julia Roberts in the romantic espionage film "Duplicity."
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded3408b88190a7d981a6dcea48d9 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d369a120208190b572b61cd6c7da72 completed April 6, 2026, 8:06 a.m.
Created at: March 30, 2026, 9:12 p.m.