Triple
T11593878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfenstein: Cyberpilot |
E274950
|
entity |
| Predicate | franchiseEntryType |
P100490
|
FINISHED |
| Object | spin-off |
—
|
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: spin-off | Statement: [Wolfenstein: Cyberpilot, franchiseEntryType, spin-off]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseEntryType Context triple: [Wolfenstein: Cyberpilot, franchiseEntryType, spin-off]
-
A.
franchiseEntryNumber
Indicates the ordinal position or sequence number of an entry within a franchise series.
-
B.
typeOfFranchise
Indicates the specific category or kind of franchise that an entity belongs to within a broader franchising system.
-
C.
controlsFranchiseType
Indicates that one entity has authority to determine or manage the type or category of franchise associated with another entity.
-
D.
franchiseElement
Indicates that one entity is a component, installment, or part within a larger franchise or series associated with another entity.
-
E.
typeOfFranchiseExtended
Indicates that a franchise has been prolonged or renewed beyond its original term or scope.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946594348190935106132fd18028 |
completed | April 10, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.