Triple

T13831318
Position Surface form Disambiguated ID Type / Status
Subject Inez Reynolds E332405 entity
Predicate givenName P17 FINISHED
Object Inez E396507 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: Inez | Statement: [Inez Reynolds, givenName, Inez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inez
Context triple: [Inez Reynolds, givenName, Inez]
  • A. Inez Courtney
    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. Ines chosen
    Ines is a feminine given name, commonly used in various European and Latin American countries, that is a variant of the name Agnes.
  • C. Kara Knack
    Kara Knack is best known as the former wife of American actor Pernell Roberts, who starred as Adam Cartwright on the classic TV series "Bonanza."
  • D. Inez Gardner
    Inez Gardner was a sister of famed American actress Ava Gardner and a member of the Gardner family from North Carolina.
  • E. Luella Gear
    Luella Gear was an American actress and comedian known for her work in early 20th-century stage and film productions.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ebf2608190b1071ee6967fa8d3 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.