Triple
T1748736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast & Furious Presents: Hobbs & Shaw |
E38391
|
entity |
| Predicate | franchisePosition |
P16873
|
FINISHED |
| Object | first Fast & Furious spin-off feature film |
—
|
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: first Fast & Furious spin-off feature film | Statement: [Fast & Furious Presents: Hobbs & Shaw, franchisePosition, first Fast & Furious spin-off feature film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchisePosition Context triple: [Fast & Furious Presents: Hobbs & Shaw, franchisePosition, first Fast & Furious spin-off feature film]
-
A.
positionOnFranchise
chosen
Indicates the specific role, rank, or status an entity holds within a particular franchise or franchise-based organization.
-
B.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
C.
franchiseRecord
Indicates a record of performance, achievement, or statistics that is the best or most significant within a particular franchise or organization.
-
D.
ownerPosition
Indicates the spatial or positional relationship of an owner relative to the owned entity.
-
E.
awardedToFranchise
Indicates that an award, title, or recognition has been given to a specific franchise.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.