Triple
T31946435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teruyuki Toriyama |
E815662
|
entity |
| Predicate | roleInDemon'sSouls2020 |
P201407
|
FINISHED |
| Object | producer |
—
|
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: producer | Statement: [Teruyuki Toriyama, roleInDemon'sSouls2020, producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDemon'sSouls2020 Context triple: [Teruyuki Toriyama, roleInDemon'sSouls2020, producer]
-
A.
roleInD2
Indicates that an entity holds a specific role or function within a D2-related context, structure, or process.
-
B.
roleInDiabloIIResurrected
Indicates the specific role, function, or involvement an entity has within the game *Diablo II: Resurrected*.
-
C.
roleInBloodborne
Indicates that one entity has a specific narrative or gameplay role within the context of the game Bloodborne in relation to another entity.
-
D.
roleInDishonored2
Indicates the specific part or function an entity has within the context of the game Dishonored 2.
-
E.
roleInDiablo
Indicates the specific function, position, or character type an entity has within the context of the Diablo game series.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fff328ddc0819080642334a41fcf95 |
completed | May 10, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69fff2e0971c819081aa66f4a6a34b28 |
completed | May 10, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fff327d7788190a41ea5cbae060177 |
completed | May 10, 2026, 2:53 a.m. |
Created at: May 1, 2026, 12:06 a.m.