Triple

T14530719
Position Surface form Disambiguated ID Type / Status
Subject Brian Weiss E340904 entity
Predicate name P16 FINISHED
Object Brian Weiss E340904 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: Brian Weiss | Statement: [Brian Weiss, name, Brian Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Weiss
Context triple: [Brian Weiss, name, Brian Weiss]
  • A. Brian Weiss chosen
    Brian Weiss is an American psychiatrist and author best known for popularizing past-life regression therapy through his bestselling books and public lectures.
  • B. Steve Weissman
    Steve Weissman is an American political activist and writer best known for his leadership role in the 1964 Berkeley Free Speech Movement.
  • C. Elliot Silverstein
    Elliot Silverstein is an American film and television director best known for works like the satirical Western "Cat Ballou" and episodes of "The Twilight Zone."
  • D. Jonathan Zalben
    Jonathan Zalben is a film and television composer known for scoring a variety of independent features and documentaries.
  • E. Benjy Eisen
    Benjy Eisen is a music journalist and author best known for co-writing memoirs with Grateful Dead drummer Bill Kreutzmann.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a547c408190a1a19e12aac1d5bd completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.