Triple
T4029240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Untempered Schism |
E83665
|
entity |
| Predicate | impactOnTheMaster |
P47033
|
FINISHED |
| Object | triggered constant drumming in his mind |
—
|
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: triggered constant drumming in his mind | Statement: [Untempered Schism, impactOnTheMaster, triggered constant drumming in his mind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnTheMaster Context triple: [Untempered Schism, impactOnTheMaster, triggered constant drumming in his mind]
-
A.
impactOnField
Indicates the effect or influence that one entity, action, or development has on a particular field or domain.
-
B.
impactOnLeader
chosen
Indicates that one entity has an effect, influence, or consequence on a leader within a given context.
-
C.
impactTower
Indicates that one entity exerts a significant force or collision upon a tower-like structure, affecting its state or stability.
-
D.
impactIfCompleted
Indicates the effect or consequence that will occur if the referenced task or action is fully completed.
-
E.
majorImpact
Indicates that one entity has a significant, highly influential, or transformative effect on another entity or outcome.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf066b08190afbb4a18ddc8d67e |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.