Triple

T16618939
Position Surface form Disambiguated ID Type / Status
Subject Amy Brenneman E403768 entity
Predicate name P16 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: [Amy Brenneman, name, Amy Brenneman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Brenneman
Context triple: [Amy Brenneman, name, 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754bc4cc8190a586732fc6507b40 completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a50bcbe88190a424a361ee885b0c completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:17 a.m.