Triple
T15472608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennit Racing |
E376700
|
entity |
| Predicate | hasSponsor |
P35686
|
FINISHED |
| Object | Old Spice |
E339794
|
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: Old Spice | Statement: [Dennit Racing, hasSponsor, Old Spice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Spice Context triple: [Dennit Racing, hasSponsor, Old Spice]
-
A.
Old Spice
chosen
Old Spice is a popular American grooming brand best known for its men's deodorants, body washes, and humorous advertising campaigns.
-
B.
Old Spice Wolfthorn
Old Spice Wolfthorn is a men’s grooming scent line known for its bold, fruity fragrance and humorous, over-the-top marketing.
-
C.
Leinenkugel's
Leinenkugel's is an American beer brand known for its German-inspired brewing heritage and popular seasonal and flavored beers, such as Summer Shandy.
-
D.
Charlie Dry
Charlie Dry is an American former astronaut trainee and engineer best known as the ex-husband of singer and anti-gay-rights activist Anita Bryant.
-
E.
Elder-Beerman
Elder-Beerman was a regional American department store chain known for selling apparel, home goods, and accessories, primarily in the Midwestern United States.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6c57308190b4cfe661c26addd4 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d075e64819097061ef4c205577e |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:33 a.m.