Triple
T3657813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Vie Claire |
E77575
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Reynolds |
E72904
|
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: Reynolds | Statement: [La Vie Claire, sponsor, Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reynolds Context triple: [La Vie Claire, sponsor, Reynolds]
-
A.
Reynolds
chosen
Reynolds was a prominent Spanish professional cycling team, best known as the early-career squad of multiple Tour de France winner Miguel Indurain and later evolving into the Banesto team.
-
B.
Reynolds
Reynolds is a common English surname borne by numerous notable figures in entertainment, politics, sports, and other fields.
-
C.
Reinold
Reinold is a given name that functions as an alternative spelling of the name Reginald.
-
D.
Richardson
Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
-
E.
Reed
Reed is a given name and surname of English and Scottish origin, commonly associated with meanings related to red hair or a person living near reeds.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d36c1c8190920397a75de4c47d |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4884071c881909daae2f3c510d399 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:24 p.m.