Triple

T3852619
Position Surface form Disambiguated ID Type / Status
Subject Dolby family E85332 entity
Predicate notableMember P10 FINISHED
Object Dagmar Dolby E14337 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: Dagmar Dolby | Statement: [Dolby family, notableMember, Dagmar Dolby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagmar Dolby
Context triple: [Dolby family, notableMember, Dagmar Dolby]
  • A. Dagmar Dolby chosen
    Dagmar Dolby is a philanthropist and widow of audio technology pioneer Ray Dolby, known for her significant charitable contributions, particularly in medical research and mental health.
  • B. Barbara Luddy
    Barbara Luddy was an American voice actress best known for her work in classic Disney animated films, including voicing the title character in "Lady and the Tramp."
  • C. Nora Dunn
    Nora Dunn is an American actress and comedian best known as a cast member on "Saturday Night Live" in the late 1980s and for her numerous film and television roles.
  • D. Joyce Kinney
    Joyce Kinney is a fictional news anchor character from the animated television series "Family Guy," where she works alongside Tom Tucker at the local TV station.
  • E. Debra Neil-Fisher
    Debra Neil-Fisher is an American film editor known for her work on major studio comedies and dramas, including entries in the Fifty Shades and The Hangover franchises.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec01f7b48190ba1ec89328b3fccb completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b50419e7a0819087f9bc7fbfec4116 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.