Triple
T37804003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivet |
E942453
|
entity |
| Predicate | speciesOriginFranchise |
P193917
|
FINISHED |
| Object | Ratchet & Clank |
—
|
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: Ratchet & Clank | Statement: [Rivet, speciesOriginFranchise, Ratchet & Clank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesOriginFranchise Context triple: [Rivet, speciesOriginFranchise, Ratchet & Clank]
-
A.
countryOfOriginOfFranchise
Indicates the country from which a particular franchise originally comes or was first established.
-
B.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
C.
representsFranchiseOrigin
Indicates that one entity is the original source or originating work from which the other entity’s franchise is derived.
-
D.
originalFranchiseOf
Indicates that one entity is the source or originating franchise from which another franchise, adaptation, or derivative work is based or derived.
-
E.
franchiseOriginCharacter
Indicates that a character is the original or primary character from which a franchise or its derivative works originate.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
| PDg | Predicate description generation | batch_69fd592cc56081908ce456114d407616 |
completed | May 8, 2026, 3:31 a.m. |
Created at: May 3, 2026, 4:19 p.m.