Triple

T8294410
Position Surface form Disambiguated ID Type / Status
Subject Mick Audsley E194178 entity
Predicate notableWork P4 FINISHED
Object The Van E446310 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 Van | Statement: [Mick Audsley, notableWork, The Van]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Van
Context triple: [Mick Audsley, notableWork, The Van]
  • A. The Van chosen
    "The Van" is a 1996 Irish comedy-drama film, based on Roddy Doyle’s novel, about two friends who start a fish-and-chip van business in Dublin after one of them loses his job.
  • B. The Ave
    The Ave is the popular nickname for University Way NE, the central commercial and social hub of Seattle’s University District near the University of Washington.
  • C. Naven
    Naven is an anthropological study by Gregory Bateson that analyzes the ritual practices and social structure of the Iatmul people of New Guinea.
  • D. Sauviat
    Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
  • E. La Pila
    La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df5fff88190ac51a8d1c3eb2fe2 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68a3258481908fe04fed1d00c9ba completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:52 p.m.