Triple
T35564007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Logano |
E1027717
|
entity |
| Predicate | previousManufacturerDriven |
P138023
|
FINISHED |
| Object | Toyota |
—
|
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: Toyota | Statement: [Joey Logano, previousManufacturerDriven, Toyota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousManufacturerDriven Context triple: [Joey Logano, previousManufacturerDriven, Toyota]
-
A.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
-
B.
usedManufacturer
chosen
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
-
C.
hasManufacturerHistory
Indicates that there exists a record of past and/or current manufacturers associated with an entity, capturing changes or continuity in who produced it over time.
-
D.
droveManufacturer
Indicates that a person or agent operated or used a vehicle produced by a specific manufacturer.
-
E.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
- F. None of above.
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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4:04 p.m.