Triple
T28521707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maximum Overdrive |
E721789
|
entity |
| Predicate | primaryVillainVehicle |
P61976
|
FINISHED |
| Object | Green Goblin-faced toy company truck |
—
|
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: Green Goblin-faced toy company truck | Statement: [Maximum Overdrive, primaryVillainVehicle, Green Goblin-faced toy company truck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryVillainVehicle Context triple: [Maximum Overdrive, primaryVillainVehicle, Green Goblin-faced toy company truck]
-
A.
mainVehicle
chosen
Indicates that one vehicle is the primary or most important vehicle associated with a given entity or context.
-
B.
hasFictionalVehicle
Indicates that one entity possesses, controls, or is associated with a vehicle that exists only in a fictional or imaginary context.
-
C.
vehicleBase
Indicates that one entity serves as the foundational or underlying base for a vehicle-related entity or system.
-
D.
notableVehicleInPlot
Indicates that a particular vehicle plays a notable or significant role within the plot of a work.
-
E.
starVehicleFor
Indicates that one entity serves as the primary or featured vehicle associated with another entity, such as a person, production, or event.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a004a8892c08190bcacb952ad737716 |
completed | May 10, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_6a004a44b4948190be4b3dbfce8da020 |
completed | May 10, 2026, 9:05 a.m. |
Created at: April 28, 2026, 3:21 a.m.