Triple
T37503147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightmares |
E932022
|
entity |
| Predicate | subFranchise |
P177255
|
FINISHED |
| Object | Call of Duty: Black Ops series |
—
|
NE NERFINISHED |
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: Call of Duty: Black Ops series | Statement: [Nightmares, subFranchise, Call of Duty: Black Ops series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subFranchise Context triple: [Nightmares, subFranchise, Call of Duty: Black Ops series]
-
A.
subfranchiseOf
Indicates that one franchise operates as a subordinate or derivative franchise under the authority or umbrella of another franchise.
-
B.
franchiseSubseries
chosen
Indicates that one media subseries belongs to and is part of a larger overarching franchise series.
-
C.
operatesUnderFranchiseFrom
Indicates that one entity conducts its business or operations under the franchising rights, brand, and system granted by another entity.
-
D.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
E.
participatingFranchise
Indicates that a franchise is involved as a participant in a particular program, event, or arrangement.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.