Triple

T14218557
Position Surface form Disambiguated ID Type / Status
Subject The Bedford Diaries E352424 entity
Predicate stars P1956 FINISHED
Object Peter Gerety E708684 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: Peter Gerety | Statement: [The Bedford Diaries, stars, Peter Gerety]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Gerety
Context triple: [The Bedford Diaries, stars, Peter Gerety]
  • A. Peter Gerety chosen
    Peter Gerety is an American character actor known for his extensive work in film and television, including roles in series like "The Wire" and "Sneaky Pete."
  • B. Harry Torczyner
    Harry Torczyner, better known as Naftali Herz Tur-Sinai, was a prominent Jewish philologist and Bible scholar who played a key role in the revival and standardization of Modern Hebrew.
  • C. George Keister
    George Keister was an American architect best known for designing prominent early 20th-century theaters and commercial buildings in New York City.
  • D. Dennis Shryack
    Dennis Shryack was an American screenwriter best known for his work on action and comedy films, including collaborations on several Clint Eastwood movies.
  • E. Michael Bostick
    Michael Bostick is a film producer known for his work on major Hollywood comedies and family films, including the hit movie "Bruce Almighty."
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c29b4e08190896ddde5096628d3 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:06 a.m.