Triple
T35559642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salmon of Knowledge |
E1027600
|
entity |
| Predicate | hasMotiveForOthers |
P19457
|
FINISHED |
| Object | desire for ultimate wisdom |
—
|
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: desire for ultimate wisdom | Statement: [Salmon of Knowledge, hasMotiveForOthers, desire for ultimate wisdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotiveForOthers Context triple: [Salmon of Knowledge, hasMotiveForOthers, desire for ultimate wisdom]
-
A.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
B.
hasMotiveOfGuest
Indicates that a guest has a particular motive or reason for their actions or behavior.
-
C.
hasMotiveContext
Indicates that there is contextual information explaining the reasons or motivations behind an action, event, or relationship.
-
D.
hasMotiveForInhabitants
Indicates that an entity provides or embodies a reason, incentive, or justification for the actions, behaviors, or presence of its inhabitants.
-
E.
motivationFor
chosen
Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 3, 2026, 4:04 p.m.