Triple

T10513528
Position Surface form Disambiguated ID Type / Status
Subject Stephen Frears E247974 entity
Predicate knownFor P22 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: [Stephen Frears, knownFor, The Van]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Van
Context triple: [Stephen Frears, knownFor, 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. De Vol
    De Vol is a surname most notably associated with Frank De Vol, an American arranger, composer, and actor known for his work in film and television music.
  • D. Naven
    Naven is an anthropological study by Gregory Bateson that analyzes the ritual practices and social structure of the Iatmul people of New Guinea.
  • E. Sauviat
    Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509ca214481909b3ed9265e7a6704 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90de6e9508190a1cdf348ec542dd5 completed April 10, 2026, 2:49 p.m.
Created at: April 6, 2026, 12:27 p.m.