Triple

T12082834
Position Surface form Disambiguated ID Type / Status
Subject Mildred Natwick E287723 entity
Predicate givenName P17 FINISHED
Object Mildred E170296 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: Mildred | Statement: [Mildred Natwick, givenName, Mildred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mildred
Context triple: [Mildred Natwick, givenName, Mildred]
  • A. Mildred chosen
    Mildred is a feminine given name of English origin that became especially popular in the late 19th and early 20th centuries.
  • B. Mildred Williams
    Mildred Williams was the first wife of Playboy founder Hugh Hefner, with whom she was married in the late 1940s and 1950s before their divorce.
  • C. Mildred Peacock
    Mildred Peacock is the resilient African American mother and protagonist of Terry McMillan’s novel "Mama," who struggles to raise her children and find independence amid poverty and hardship.
  • D. Mildred Vanderhoff
    Mildred Vanderhoff was the wife of famed American bandleader and orchestral director Paul Whiteman.
  • E. Mildred Krebs
    Mildred Krebs is a loyal, sharp-witted former IRS investigator who becomes a key member of the detective team in the television series "Remington Steele."
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63454d1b88190a01db0e2a7363d05 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:48 p.m.