Triple

T14361100
Position Surface form Disambiguated ID Type / Status
Subject The Hunting Ground E356100 entity
Predicate editor P1954 FINISHED
Object Doug Blush E1094577 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: Doug Blush | Statement: [The Hunting Ground, editor, Doug Blush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug Blush
Context triple: [The Hunting Ground, editor, Doug Blush]
  • A. Doug Blush chosen
    Doug Blush is an American documentary film editor, director, and producer known for his work on acclaimed social-issue documentaries including the Oscar-winning "The Invisible War."
  • B. Bryan Unkeless
    Bryan Unkeless is a film producer known for working on acclaimed movies such as "I, Tonya" and other high-profile Hollywood projects.
  • C. Brian Blosil
    Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
  • D. Tony Barbee
    Tony Barbee is an American college basketball coach best known for his head coaching stints at UTEP and Auburn and for his long association with coach John Calipari as a player and assistant.
  • E. Blaine Wilson
    Blaine Wilson is an American artistic gymnast and multiple-time national champion who represented the United States at several Olympic Games in the late 1990s and early 2000s.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f54bfb08190a27c0d12731acec2 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550ca6b88190b76cd486bdd66fdf completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.