Triple
T124570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell’s paradox |
E2517
|
entity |
| Predicate | motivated |
P4937
|
FINISHED |
| Object | axiomatic set theory |
—
|
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: axiomatic set theory | Statement: [Russell’s paradox, motivated, axiomatic set theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motivated Context triple: [Russell’s paradox, motivated, axiomatic set theory]
-
A.
encourages
Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
-
B.
determined
Indicates that an entity has firmly decided on a course of action or conclusion, typically after consideration or effort.
-
C.
triggered
Indicates that one entity causes an event, action, or process involving another entity to start or occur.
-
D.
motto
Indicates that one entity serves as the guiding phrase, slogan, or maxim associated with another entity.
-
E.
controlled
Indicates that one entity has power, authority, or influence to direct, regulate, or determine the behavior, actions, or state of another entity.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573e4e6481908252dfef2e34f46e |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564a54948190ba30bee858173b27 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256ea776081908fec36c3fdfb8d84 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.