Triple
T29100863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shin Megami Tensei |
E736635
|
entity |
| Predicate | notableMechanicInfluence |
P45664
|
FINISHED |
| Object | influenced demon-collecting RPGs |
—
|
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: influenced demon-collecting RPGs | Statement: [Shin Megami Tensei, notableMechanicInfluence, influenced demon-collecting RPGs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMechanicInfluence Context triple: [Shin Megami Tensei, notableMechanicInfluence, influenced demon-collecting RPGs]
-
A.
notableMechanicOrigin
Indicates that a mechanic is notably associated with or originates from a particular source, such as a creator, work, or context.
-
B.
notableLevelMechanic
Indicates that an entity is recognized for its significant involvement in designing, implementing, or innovating game level mechanics.
-
C.
hadInfluenceOn
chosen
Indicates that one entity affected, shaped, or contributed to the development, behavior, or characteristics of another entity.
-
D.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
E.
notableImpactOn
Indicates that one entity has had a significant, recognizable, or influential effect on another entity.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a02f10505988190be5fd57566a90e0f |
completed | May 12, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_6a02f03a8c1481909e137e270119f7ef |
completed | May 12, 2026, 9:17 a.m. |
Created at: April 28, 2026, 11:12 a.m.