Triple

T16229035
Position Surface form Disambiguated ID Type / Status
Subject 88 Minutes E393930 entity
Predicate starring P1507 FINISHED
Object Amy Brenneman E403768 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: Amy Brenneman | Statement: [88 Minutes, starring, Amy Brenneman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Brenneman
Context triple: [88 Minutes, starring, Amy Brenneman]
  • A. Amy Brenneman chosen
    Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
  • B. Deborah Norville
    Deborah Norville is an American television journalist and author best known as the longtime anchor of the syndicated newsmagazine program Inside Edition.
  • C. Laurie Durning
    Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
  • D. Marian Dunn
    Marian Dunn was the wife of Australian novelist and journalist Marcus Clarke, known for her connection to the prominent literary figure of colonial Australia.
  • E. Lucinda Jenney
    Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2889688190ac04e4e9479cabf4 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9a8d7481908c7bc4711ddacc13 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:03 a.m.