Triple
T30380083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Gyllenhaal as Lou Bloom |
E772797
|
entity |
| Predicate | vehicleDrivenInFiction |
P169743
|
FINISHED |
| Object | red Dodge Challenger |
—
|
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: red Dodge Challenger | Statement: [Jake Gyllenhaal as Lou Bloom, vehicleDrivenInFiction, red Dodge Challenger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleDrivenInFiction Context triple: [Jake Gyllenhaal as Lou Bloom, vehicleDrivenInFiction, red Dodge Challenger]
-
A.
hasFictionalVehicle
Indicates that one entity possesses, controls, or is associated with a vehicle that exists only in a fictional or imaginary context.
-
B.
vehicleOfTimeDisplacement
Indicates a relationship where something serves as the means or mechanism by which time displacement (time travel or temporal shifting) is carried out.
-
C.
hasFictionalDriver
Indicates that an entity (such as a vehicle or object) is associated with a driver who is a fictional or imaginary character.
-
D.
vehicleObsession
Indicates an intense, often excessive preoccupation or fixation that one entity has with vehicles.
-
E.
notableVehicleInPlot
Indicates that a particular vehicle plays a notable or significant role within the plot of a work.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68517995c8190969956f60acce3ee |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 8 p.m.