Triple
T4231093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Ghidorah |
E94581
|
entity |
| Predicate | franchiseSegment |
P53123
|
FINISHED |
| Object | Showa era Godzilla films |
—
|
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: Showa era Godzilla films | Statement: [King Ghidorah, franchiseSegment, Showa era Godzilla films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseSegment Context triple: [King Ghidorah, franchiseSegment, Showa era Godzilla films]
-
A.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
B.
franchiseElement
chosen
Indicates that one entity is a component, installment, or part within a larger franchise or series associated with another entity.
-
C.
typeOfFranchise
Indicates the specific category or kind of franchise that an entity belongs to within a broader franchising system.
-
D.
franchiseName
Indicates that an entity is identified by or associated with a specific franchise’s official name.
-
E.
franchiseGenre
Indicates that a franchise belongs to or is categorized under a particular genre.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e62e3c881909ffb9269ba9018b9 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f3bd188190b0cd613e8a5c1683 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.