Triple

T12901746
Position Surface form Disambiguated ID Type / Status
Subject Hirogen E308626 entity
Predicate keyConcept P531 FINISHED
Object the Hunt E592607 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: the Hunt | Statement: [Hirogen, keyConcept, the Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Hunt
Context triple: [Hirogen, keyConcept, the Hunt]
  • A. On the Hunt
    On the Hunt is a Hunter-class spell card in Hearthstone that deals damage to a minion while summoning a 1/1 Mastiff companion.
  • B. Hunt
    Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
  • C. Hunt
    Hunt is a South Korean espionage action thriller film directed by and starring Lee Jung-jae, centered on two rival intelligence agents uncovering a massive political conspiracy.
  • D. Hunt
    Hunt is a small unincorporated community in the Texas Hill Country known for its scenic location at the confluence of the North and South Forks of the Guadalupe River and its popular summer camps.
  • E. The Hunt chosen
    The Hunt is a critically acclaimed 2012 Danish psychological drama film directed by Thomas Vinterberg, starring Mads Mikkelsen as a man falsely accused of child abuse in a small community.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971820e008190bf8bc7c392c8bcbb completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a563a84c8190a75d830653661518 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.