Triple

T15447301
Position Surface form Disambiguated ID Type / Status
Subject Jean Graczyk E370056 entity
Predicate competedForTeam P60038 FINISHED
Object Helyett E353545 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: Helyett | Statement: [Jean Graczyk, competedForTeam, Helyett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helyett
Context triple: [Jean Graczyk, competedForTeam, Helyett]
  • A. Helyett chosen
    Helyett was a French bicycle manufacturer best known for producing high-quality racing bikes used by professional cycling teams in the mid-20th century.
  • B. Dunántúl
    Dunántúl is the Hungarian name for Transdanubia, the large western region of Hungary lying west of the Danube River.
  • C. The Other Side
    The Other Side is a documentary film directed by Academy Award–winning filmmaker Vanessa Roth that explores the lives and challenges of children affected by parental incarceration.
  • D. The Other Side
    The Other Side is an acoustic EP by American rock band Godsmack that features stripped-down versions of their songs and previously unreleased material.
  • E. The Other Side
    "The Other Side" is a poem by Seamus Heaney that reflects his characteristic exploration of memory, landscape, and the tensions of Irish identity.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef767b4819099f2c0919a158321 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21afb6f4819094162ca842b7eb60 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.