Triple

T11683675
Position Surface form Disambiguated ID Type / Status
Subject Jane Maria Leavitt Hunt E277682 entity
Predicate spouse P13 FINISHED
Object Jonathan Hunt E224289 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: Jonathan Hunt | Statement: [Jane Maria Leavitt Hunt, spouse, Jonathan Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Hunt
Context triple: [Jane Maria Leavitt Hunt, spouse, Jonathan Hunt]
  • A. Jonathan Hunt chosen
    Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
  • B. Jonathan J. Hunt
    Jonathan J. Hunt is a researcher in machine learning and control who is credited with introducing the Deep Deterministic Policy Gradient (DDPG) algorithm for continuous action reinforcement learning.
  • C. Dan Hunt
    Dan Hunt is an American soccer executive and co-owner of FC Dallas, known for leading the Major League Soccer club founded by his family.
  • D. Jonathan Hunter
    Jonathan Hunter is the son of British screenwriter Ian McLellan Hunter, who was known for his work in mid-20th-century cinema.
  • E. Ian Hallard
    Ian Hallard is a British actor and writer known for his work in television, theatre, and radio, as well as for his collaborations with his husband, writer-actor Mark Gatiss.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417302ffc81908d222c4e01fa3e95 completed May 1, 2026, 3 a.m.
Created at: April 8, 2026, 9:40 p.m.