Triple
T38476519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Mason |
E915563
|
entity |
| Predicate | homeFranchiseTitle |
P190936
|
FINISHED |
| Object | Call of Duty: Black Ops II |
—
|
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 II | Statement: [David Mason, homeFranchiseTitle, Call of Duty: Black Ops II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeFranchiseTitle Context triple: [David Mason, homeFranchiseTitle, Call of Duty: Black Ops II]
-
A.
homeFranchisePlatform
Indicates that a franchise operates primarily through a home-based business model supported by a specific platform or system.
-
B.
franchiseName
Indicates that an entity is identified by or associated with a specific franchise’s official name.
-
C.
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.
-
D.
franchiseConnection
Indicates a relationship where one entity is part of, derived from, or otherwise officially linked to a larger franchise or brand.
-
E.
franchiseBrand
Indicates that one entity is the brand under which another entity operates as a franchise.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd34596288190b8e34a7a20b4c0db |
completed | May 7, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd31227708190a7df213597e66ca8 |
completed | May 7, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:31 p.m.