Triple

T21627846
Position Surface form Disambiguated ID Type / Status
Subject Inez Courtney E533749 entity
Predicate name P16 FINISHED
Object Inez Courtney 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: Inez Courtney | Statement: [Inez Courtney, name, Inez Courtney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inez Courtney
Context triple: [Inez Courtney, name, Inez Courtney]
  • A. Inez Courtney chosen
    Inez Courtney was an American stage and film actress active in the 1930s and 1940s, known for her supporting roles in Hollywood comedies and musicals.
  • B. Inez Reynolds
    Inez Reynolds is one of the daughters of actors Ryan Reynolds and Blake Lively, known primarily for her connection to her famous parents.
  • C. Inez Gardner
    Inez Gardner was a sister of famed American actress Ava Gardner and a member of the Gardner family from North Carolina.
  • D. Inez Haynes
    Inez Haynes was an American feminist author and journalist known for her progressive views on women's rights in the early 20th century.
  • E. Inez Cooper
    Inez Cooper was an actress known for her role in the early 20th-century Australian film "The Lone Hand."
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52141e1c8190a861f4bc7cfcb490 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.