Triple
T30605378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finn McMissile |
E779026
|
entity |
| Predicate | roleInCars2 |
P121908
|
FINISHED |
| Object | major character |
—
|
LITERAL 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: major character | Statement: [Finn McMissile, roleInCars2, major character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCars2 Context triple: [Finn McMissile, roleInCars2, major character]
-
A.
livesInVehicle
Indicates that an entity resides or habitually stays within a vehicle as its primary place of living or presence.
-
B.
carCultureRole
chosen
Indicates the role or function an entity has within car culture, such as how it contributes to or is perceived in automotive-related communities, practices, or values.
-
C.
roleInTesla
Indicates that one entity holds or held a specific role, position, or function within the organization Tesla.
-
D.
occursInVehicle
Indicates that an event or action takes place within or on a vehicle.
-
E.
usedInCar
Indicates that something is utilized as a component, feature, or element within a 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
Created at: April 29, 2026, 8:25 p.m.