Triple

T16260953
Position Surface form Disambiguated ID Type / Status
Subject Sam Hunt E394751 entity
Predicate familyName P18 FINISHED
Object Hunt E16802 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: Hunt | Statement: [Sam Hunt, familyName, Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunt
Context triple: [Sam Hunt, familyName, Hunt]
  • A. Hunt chosen
    Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Hunted
    Hunted is a British espionage television drama series starring Melissa George as a highly skilled operative working for a private intelligence agency.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c3e5388190942b0237ab5d1f0f completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f8ca4508190a8ed7a9159dfb551 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:04 a.m.