Triple
T2432959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MachineGames |
E52887
|
entity |
| Predicate | franchiseGenre |
P39173
|
FINISHED |
| Object | alternate history |
—
|
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: alternate history | Statement: [MachineGames, franchiseGenre, alternate history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseGenre Context triple: [MachineGames, franchiseGenre, alternate history]
-
A.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
B.
originalFranchiseOf
Indicates that one entity is the source or originating franchise from which another franchise, adaptation, or derivative work is based or derived.
-
C.
franchiseName
Indicates that an entity is identified by or associated with a specific franchise’s official name.
-
D.
typeOfFranchise
Indicates the specific category or kind of franchise that an entity belongs to within a broader franchising system.
-
E.
franchiseLineage
Indicates the relationship by which one franchise is derived from, succeeds, or is otherwise historically connected to another within the same overarching series or brand.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcc73d2e48190b6ad5f3ee75b74eb |
completed | March 7, 2026, 6:57 a.m. |
Created at: March 6, 2026, 9:43 p.m.