Triple
T1483742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game of Life |
E29416
|
entity |
| Predicate | inspiredField |
P29144
|
FINISHED |
| Object | cellular automata research |
—
|
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: cellular automata research | Statement: [Game of Life, inspiredField, cellular automata research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredField Context triple: [Game of Life, inspiredField, cellular automata research]
-
A.
inspiredDocument
Indicates that one entity (often a work, idea, or person) served as the creative or conceptual inspiration for the creation or content of another document.
-
B.
inspiredAuthor
Indicates that one entity served as a source of creative or intellectual inspiration for an author entity.
-
C.
inspiredArtist
Indicates that one artist has served as a source of creative influence or inspiration for another artist.
-
D.
inspiredDevelopmentOf
Indicates that one entity served as a motivating influence or creative stimulus leading to the development or creation of another entity.
-
E.
inspiredEvent
Indicates that one event served as the motivation, cause, or creative stimulus for another event to occur or be conceived.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c679714c8190ac53630fb49e19c5 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:12 p.m.