Triple
T29548126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Force visions |
E749684
|
entity |
| Predicate | canBeInfluencedBy |
P63713
|
FINISHED |
| Object | the seer’s fears |
—
|
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: the seer’s fears | Statement: [Force visions, canBeInfluencedBy, the seer’s fears]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeInfluencedBy Context triple: [Force visions, canBeInfluencedBy, the seer’s fears]
-
A.
hasPossibleInfluence
chosen
Indicates that one entity may have an effect on, contribute to, or shape the state, behavior, or outcome of another entity, without asserting that this influence is definite or direct.
-
B.
cannotBeInfluencedBy
Indicates that one entity is not susceptible to being affected, altered, or swayed by another entity or factor.
-
C.
isUnderInfluenceOf
Indicates that one entity is affected, controlled, or significantly shaped by the power, authority, or effect of another entity.
-
D.
hasAdditionalInfluence
Indicates that one entity exerts extra or supplementary influence on another entity beyond any primary or baseline effect.
-
E.
areAffectedBy
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: April 28, 2026, 5:09 p.m.