Triple

T13185505
Position Surface form Disambiguated ID Type / Status
Subject Tim Hunt E313838 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: [Tim Hunt, familyName, Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunt
Context triple: [Tim 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f7a304819081c4f51631948cbd completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:15 p.m.