Triple
T10281193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominic Toretto |
E241103
|
entity |
| Predicate | franchiseCentralRole |
P52434
|
FINISHED |
| Object | central protagonist of the Fast & Furious series |
—
|
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: central protagonist of the Fast & Furious series | Statement: [Dominic Toretto, franchiseCentralRole, central protagonist of the Fast & Furious series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseCentralRole Context triple: [Dominic Toretto, franchiseCentralRole, central protagonist of the Fast & Furious series]
-
A.
roleInFranchiseHistory
Indicates the specific function, position, or contribution an entity has within the historical development or timeline of a franchise.
-
B.
franchiseCharacter
chosen
Indicates a relationship where a character belongs to, appears in, or is part of a particular media franchise.
-
C.
franchiseConnection
Indicates a relationship where one entity is part of, derived from, or otherwise officially linked to a larger franchise or brand.
-
D.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
-
E.
franchiseFocus
Indicates that an entity (such as a business or organization) is primarily oriented around, dedicated to, or centered on a particular franchise or franchise-related activity.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:39 a.m.