Triple

T14414302
Position Surface form Disambiguated ID Type / Status
Subject Mia Honey Threapleton E357408 entity
Predicate familyName P18 FINISHED
Object Threapleton E1097105 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: Threapleton | Statement: [Mia Honey Threapleton, familyName, Threapleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Threapleton
Context triple: [Mia Honey Threapleton, familyName, Threapleton]
  • A. Threapleton chosen
    Threapleton is an English surname most notably associated with film director Jim Threapleton and his family.
  • B. Warminster
    Warminster is a market town in Wiltshire, England, known for its historic architecture, surrounding countryside, and role as a local transport and service hub.
  • C. Warminster
    Warminster is a suburban township in Bucks County, Pennsylvania, known for its residential communities, local commerce, and small general-aviation airport.
  • D. Cullompton
    Cullompton is a historic market town in Devon, England, known for its agricultural heritage and location in the Culm Valley.
  • E. Thankerton
    Thankerton is a small village in South Lanarkshire, Scotland, situated within the historic district of Clydesdale.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cc99208190a2313b1acfb5d802 completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc79c088190b6fd2984515976d7 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.