Triple
T35402622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Dennis Alan Hamlin |
E1023274
|
entity |
| Predicate | formerManufacturerDriven |
P25149
|
FINISHED |
| Object | Chevrolet |
—
|
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: Chevrolet | Statement: [James Dennis Alan Hamlin, formerManufacturerDriven, Chevrolet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerManufacturerDriven Context triple: [James Dennis Alan Hamlin, formerManufacturerDriven, Chevrolet]
-
A.
formerManufacturer
chosen
Indicates that an entity previously manufactured another entity but no longer does so.
-
B.
droveManufacturer
Indicates that a person or agent operated or used a vehicle produced by a specific manufacturer.
-
C.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
-
D.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
E.
formerManufacturerPartner
Indicates that two entities were previously in a manufacturer–partner business relationship, but that partnership has since ended.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a005b2e0a9c819081c6f7ccbef49ff8 |
completed | May 10, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a005a8bcde88190ace2bc0215e26430 |
completed | May 10, 2026, 10:14 a.m. |
Created at: May 3, 2026, 4:03 p.m.