Triple
T21641559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Firestone |
E534099
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Firestone |
—
|
NE NERFINISHED |
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: Firestone | Statement: [Harvey Firestone, familyName, Firestone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Firestone Context triple: [Harvey Firestone, familyName, Firestone]
-
A.
Firestone
chosen
Firestone is a major American tire brand known for supplying high-performance racing tires, particularly in open-wheel series like IndyCar.
-
B.
Firestone
Firestone is a small town in Colorado’s Front Range region, known for its residential communities and proximity to the Denver metropolitan area.
-
C.
Firestone
"Firestone" is a popular electronic dance music track by Norwegian DJ Kygo featuring Australian singer Conrad Sewell on vocals.
-
D.
Dunlop
Dunlop is the middle name of A. D. Lindsay, a British academic and philosopher.
-
E.
Dunlop
Dunlop is a well-known tire manufacturer that produces high-performance motorcycle and automotive tires used in both professional racing and everyday driving.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef53917f3c81909e7f4074beecefd3 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.