Triple

T12363915
Position Surface form Disambiguated ID Type / Status
Subject Berny Wolf E294812 entity
Predicate name P16 FINISHED
Object Berny Wolf E294812 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: Berny Wolf | Statement: [Berny Wolf, name, Berny Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berny Wolf
Context triple: [Berny Wolf, name, Berny Wolf]
  • A. Berny Wolf chosen
    Berny Wolf was an American animator, director, and producer known for his long career at major studios like Disney and Hanna-Barbera, contributing to classic animated films and television series.
  • B. Elliott Wolf
    Elliott Wolf is one of the children of television producer Dick Wolf, known for creating the "Law & Order" franchise.
  • C. Richard Anthony Wolf
    Richard Anthony Wolf is an American television producer and writer best known as the creator of the long-running "Law & Order" franchise.
  • D. Kerry Wolf
    Kerry Wolf is an individual notable enough to be recognized as a bearer of the surname Wolf, though specific widely known public details about them are not readily available.
  • E. Mickey Wolfmann
    Mickey Wolfmann is a wealthy, eccentric real-estate mogul who becomes a central missing-person figure in Thomas Pynchon’s novel "Inherent Vice."
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa3f958819080555bcae9958a53 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abbaaec8190b388d9dff999da8d completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.