Triple

T22453392
Position Surface form Disambiguated ID Type / Status
Subject The Hunter E555048 entity
Predicate hasSingle P3282 FINISHED
Object Dry Bone Valley 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: Dry Bone Valley | Statement: [The Hunter, hasSingle, Dry Bone Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dry Bone Valley
Context triple: [The Hunter, hasSingle, Dry Bone Valley]
  • A. Dry Bone Valley chosen
    Dry Bone Valley is a notable location within the world of *The Hunter*, known for its rugged, desolate terrain and challenging hunting opportunities.
  • B. Dry Bones in the Valley
    Dry Bones in the Valley is a crime novel by Tom Bouman that follows a rural Pennsylvania cop investigating a murder amid fracking tensions and small-town secrets.
  • C. Road of Bones
    Road of Bones is the grim nickname for Russia’s remote Kolyma Highway, infamous for the countless Gulag prisoners who died building it under brutal Soviet-era conditions.
  • D. Dry as a Bone
    Dry as a Bone is an early EP by the Seattle grunge band Green River, noted for its raw sound and influence on the emerging grunge movement.
  • E. Deaf Valley
    Deaf Valley is the famously raucous home-field environment of LSU’s Tiger Stadium, known for its deafening crowd noise during football games.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4d6368819082cafbbd83339fbf completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.