Triple
T33602969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crew (Memphis Raines’ team) |
E860769
|
entity |
| Predicate | signatureCarType |
P122426
|
FINISHED |
| Object | 1967 Ford Mustang Shelby GT500 (custom) |
—
|
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: 1967 Ford Mustang Shelby GT500 (custom) | Statement: [The Crew (Memphis Raines’ team), signatureCarType, 1967 Ford Mustang Shelby GT500 (custom)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signatureCarType Context triple: [The Crew (Memphis Raines’ team), signatureCarType, 1967 Ford Mustang Shelby GT500 (custom)]
-
A.
controlCarType
Indicates a relationship where an entity has authority to operate, manage, or make decisions about a specific type or category of car.
-
B.
vehicleType
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
-
C.
intendedVehicleClass
Indicates that one entity is designed or specified to be used with, or is appropriate for, a particular class or category of vehicle.
-
D.
intendedVehicle
Indicates that one entity is the vehicle that another entity plans or is meant to use.
-
E.
hasCarClass
chosen
Indicates that one entity is associated with, or categorized under, a particular class or type of car.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:41 a.m.