Triple

T16847538
Position Surface form Disambiguated ID Type / Status
Subject Bone Tomahawk E409582 entity
Predicate character P662 FINISHED
Object Arthur O'Dwyer
Arthur O'Dwyer is a determined and resilient frontier husband in the horror Western film "Bone Tomahawk," who undertakes a perilous rescue mission despite being severely injured.
 E1236149 NE FINISHED

How this triple was built (4 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: Arthur O'Dwyer | Statement: [Bone Tomahawk, character, Arthur O'Dwyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arthur O'Dwyer
Context triple: [Bone Tomahawk, character, Arthur O'Dwyer]
  • A. Daniel Lyons
    Daniel Lyons is a fictional character from the British television drama series "Years and Years," portrayed by actor Russell Tovey.
  • B. Daniel Lyons
    Daniel Lyons is an individual known primarily in this context as the brother of Stephen Lyons.
  • C. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • D. Andrew Hines
    Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
  • E. Andrew Hynes
    Andrew Hynes was an American military officer and early Kentucky pioneer known for his role in the region’s frontier development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arthur O'Dwyer
Triple: [Bone Tomahawk, character, Arthur O'Dwyer]
Generated description
Arthur O'Dwyer is a determined and resilient frontier husband in the horror Western film "Bone Tomahawk," who undertakes a perilous rescue mission despite being severely injured.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arthur O'Dwyer
Target entity description: Arthur O'Dwyer is a determined and resilient frontier husband in the horror Western film "Bone Tomahawk," who undertakes a perilous rescue mission despite being severely injured.
  • A. Daniel Lyons
    Daniel Lyons is a fictional character from the British television drama series "Years and Years," portrayed by actor Russell Tovey.
  • B. Daniel Lyons
    Daniel Lyons is an individual known primarily in this context as the brother of Stephen Lyons.
  • C. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • D. Andrew Hines
    Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
  • E. Andrew Hynes
    Andrew Hynes was an American military officer and early Kentucky pioneer known for his role in the region’s frontier development.
  • F. None of above. chosen

Provenance (5 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b376bac48190ae09f29a28c55f8c completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1d555c8190883c82e562b7bfe9 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbb628208190b0be62a333e7e442 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc3a4b888190bd190b9330e2777d completed May 10, 2026, 5:11 p.m.
Created at: April 10, 2026, 5:24 a.m.