Triple
T30348760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afterlife High School |
E771932
|
entity |
| Predicate | conflictCenter |
P96925
|
FINISHED |
| Object | struggle against the system of the afterlife |
—
|
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: struggle against the system of the afterlife | Statement: [Afterlife High School, conflictCenter, struggle against the system of the afterlife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictCenter Context triple: [Afterlife High School, conflictCenter, struggle against the system of the afterlife]
-
A.
centralConflictIn
chosen
Indicates that one situation, issue, or opposition serves as the primary source of tension or struggle within another context, such as a story, event, or scenario.
-
B.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
C.
conflictGround
Indicates that one entity is the cause, basis, or subject matter of a conflict involving another entity.
-
D.
conflictSpecific
Indicates a specific, concrete instance or type of conflict that exists between the related entities.
-
E.
conflictRegion
Indicates that the entities are located in or associated with a geographic area characterized by active or recent conflict, tension, or hostilities.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 7:56 p.m.