Triple
T33670289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cole Trickle |
E862598
|
entity |
| Predicate | carNumberInFilm |
P177185
|
FINISHED |
| Object | 46 |
—
|
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: 46 | Statement: [Cole Trickle, carNumberInFilm, 46]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carNumberInFilm Context triple: [Cole Trickle, carNumberInFilm, 46]
-
A.
vehicleDrivenInFiction
Indicates that a vehicle is depicted as being driven or operated within a fictional work or narrative.
-
B.
notableVehicleInPlot
Indicates that a particular vehicle plays a notable or significant role within the plot of a work.
-
C.
droveCarNumber
Indicates that a person operated or was driving a specific car identified by its number.
-
D.
رمز لوحة المركبات
Indicates a relationship where a specific code or identifier is assigned to a vehicle’s license plate.
-
E.
leadingCarNumber
Indicates the identifier or number assigned to the car that is currently in the leading position relative to others.
- F. None of above. chosen
Provenance (4 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fae2a7a8819099945d1706a94bfd |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:42 a.m.