Triple
T32094824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Blue Wizards |
E819697
|
entity |
| Predicate | speculatedImpact |
P68586
|
FINISHED |
| Object | may have hindered Sauron’s influence in the East |
—
|
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: may have hindered Sauron’s influence in the East | Statement: [the Blue Wizards, speculatedImpact, may have hindered Sauron’s influence in the East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speculatedImpact Context triple: [the Blue Wizards, speculatedImpact, may have hindered Sauron’s influence in the East]
-
A.
predictedEffect
chosen
Indicates that one entity is expected to cause, influence, or result in a particular outcome or consequence for another entity.
-
B.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
C.
exportImpact
Indicates the effect or consequences that an entity’s exports have on another entity, system, or context.
-
D.
canImpact
Indicates that one entity has the potential or ability to affect, influence, or cause a change in another entity.
-
E.
indirectImpactOn
Indicates that one entity affects another entity’s state, condition, or outcome through one or more intermediate factors rather than through a direct interaction.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b6405b1881908f9739bf6af05dd1 |
completed | May 3, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:25 a.m.