Triple

T22917679
Position Surface form Disambiguated ID Type / Status
Subject Greg Jackson E568776 entity
Predicate trained P3665 FINISHED
Object Travis Browne NE NERFINISHED

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: Travis Browne | Statement: [Greg Jackson, trained, Travis Browne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travis Browne
Context triple: [Greg Jackson, trained, Travis Browne]
  • A. Travis Browne chosen
    Travis Browne is an American former mixed martial artist best known for competing as a heavyweight in the UFC.
  • B. Travis Milloy
    Travis Milloy is an American screenwriter and filmmaker best known for writing the science fiction horror film "Pandorum."
  • C. Travis Baldree
    Travis Baldree is a game designer and developer best known for his work on the action RPG Torchlight and later as an award-winning fantasy audiobook narrator and author.
  • D. Travis Oates
    Travis Oates is an American voice actor best known for portraying Piglet in modern Winnie the Pooh productions.
  • E. Trevor Macy
    Trevor Macy is an American film and television producer best known for his work in the horror and thriller genres, frequently collaborating with filmmaker Mike Flanagan on projects such as "The Haunting of Hill House" and "Doctor Sleep."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1807b254c8190bb84596dcacaa35e completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.