Triple

T11760367
Position Surface form Disambiguated ID Type / Status
Subject Madam Secretary E279638 entity
Predicate starring P1507 FINISHED
Object Patina Miller E386562 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: Patina Miller | Statement: [Madam Secretary, starring, Patina Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patina Miller
Context triple: [Madam Secretary, starring, Patina Miller]
  • A. Patina Miller chosen
    Patina Miller is an American actress and singer known for her work on television, film, and Broadway, including a Tony-winning performance in the musical "Pippin."
  • B. Tamara Miller
    Tamara Miller is a member of the Disney family and a granddaughter of Walt Disney through his daughter Diane Disney Miller.
  • C. Mona Miller
    Mona Miller was the wife of American writer Henry Miller, known primarily for her association with the influential novelist.
  • D. Ana Miller
    Ana Miller is a supporting character in the 2018 film "Tomb Raider," serving as a close associate of the Croft family who becomes involved in the aftermath of Richard Croft’s disappearance.
  • E. Marisa Miller
    Marisa Miller is an American supermodel best known for her work with Victoria’s Secret and appearances in the Sports Illustrated Swimsuit Issue.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16695479c819082c6ab12657a2d5f completed April 29, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:41 p.m.