Triple

T14621900
Position Surface form Disambiguated ID Type / Status
Subject Margulies E343243 entity
Predicate hasNotableBearer P458 FINISHED
Object David Margulies E868814 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: David Margulies | Statement: [Margulies, hasNotableBearer, David Margulies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Margulies
Context triple: [Margulies, hasNotableBearer, David Margulies]
  • A. David Margulies chosen
    David Margulies was an American character actor known for his roles in films such as Ghostbusters and numerous appearances on stage and television.
  • B. Paul Margulies
    Paul Margulies was an American advertising executive and writer, best known as the father of actress Julianna Margulies.
  • C. Ben Margulies
    Ben Margulies is an American songwriter and producer best known for co-writing several early hits with Mariah Carey, including her debut single "Vision of Love."
  • D. Stan Margulies
    Stan Margulies was an American film and television producer known for his work on projects such as the classic 1971 musical fantasy film "Willy Wonka & the Chocolate Factory."
  • E. Alfred Margulies
    Alfred Margulies is an American psychiatrist and author known for his work on the narrative and ethical dimensions of clinical practice.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb466a61c81908a110d40fb959b6f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5cd890c8190902c9b526babe6d3 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:25 a.m.