Triple
T14262144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helyett–Potin |
E353546
|
entity |
| Predicate | sponsor |
P67
|
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: [Helyett–Potin, sponsor, Helyett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helyett Context triple: [Helyett–Potin, sponsor, 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de63563fc88190b0abdbf8529c65eb |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326367348190b4b31b32f4ca5639 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.