Triple
T31993993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. West |
E816943
|
entity |
| Predicate | eventuallyLearns |
P161927
|
FINISHED |
| Object | Soviet citizens are not the monsters he imagined |
—
|
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: Soviet citizens are not the monsters he imagined | Statement: [Mr. West, eventuallyLearns, Soviet citizens are not the monsters he imagined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventuallyLearns Context triple: [Mr. West, eventuallyLearns, Soviet citizens are not the monsters he imagined]
-
A.
earntBy
Indicates that something (such as money, points, or a reward) is obtained as a result of the actions, work, or performance of a particular entity.
-
B.
usesLearningMechanism
Indicates that one entity employs or applies a particular learning mechanism or method in its functioning or behavior.
-
C.
eventuallyIn
Indicates that one entity will, at some later time or in the long run, come to be located in, belong to, or be contained within another entity or state.
-
D.
learnsConcept
chosen
Indicates that an entity acquires knowledge or understanding of a particular concept.
-
E.
learn
Indicates that an entity acquires knowledge, skills, or understanding from another entity, source, or experience.
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 12:13 a.m.