Triple
T34737003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Siller |
E1001372
|
entity |
| Predicate | influencedSeries |
P152735
|
FINISHED |
| Object | Crash Bandicoot series |
—
|
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: Crash Bandicoot series | Statement: [David Siller, influencedSeries, Crash Bandicoot series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedSeries Context triple: [David Siller, influencedSeries, Crash Bandicoot series]
-
A.
influencedAdaptationsOf
Indicates that one entity has affected, shaped, or guided the adaptations or modified forms derived from another entity.
-
B.
influencedIn
chosen
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
-
C.
inspiredTelevisionSeries
Indicates that one work served as the creative basis or inspiration for the development of a television series.
-
D.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
E.
formerSeries
Indicates that one entity was previously a series associated with another entity, but no longer holds that status.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 3:59 p.m.