Triple

T14653568
Position Surface form Disambiguated ID Type / Status
Subject Stronger E344051 entity
Predicate basedOnAuthor P2806 FINISHED
Object Bret Witter E398569 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: Bret Witter | Statement: [Stronger, basedOnAuthor, Bret Witter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bret Witter
Context triple: [Stronger, basedOnAuthor, Bret Witter]
  • A. Bret Witter chosen
    Bret Witter is an American author and ghostwriter best known for co-authoring popular nonfiction books, including the World War II history that inspired the film "The Monuments Men."
  • B. Greg Wuliger
    Greg Wuliger is Chris Rock’s loyal, nerdy best friend in the sitcom "Everybody Hates Chris," known for his quirky personality and unwavering support.
  • C. Brett Jutkiewicz
    Brett Jutkiewicz is an American cinematographer known for his work on contemporary horror and independent films, including entries in the Scream franchise.
  • D. Bryon Widner
    Bryon Widner is a former American white supremacist and skinhead who became known for leaving the neo-Nazi movement and undergoing extensive tattoo removal as part of his transformation.
  • E. Kevin Biegel
    Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb518f7dc8190877997ea4cd3eed2 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde17283608190a8351b366cac5e4f completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.