Triple
T442568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rebellion |
E10143
|
entity |
| Predicate | fanType |
P13232
|
FINISHED |
| Object | organized supporters group |
—
|
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: organized supporters group | Statement: [The Rebellion, fanType, organized supporters group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanType Context triple: [The Rebellion, fanType, organized supporters group]
-
A.
furnaceType
Indicates the specific kind or category of furnace associated with an entity.
-
B.
fairingType
Indicates the specific kind or design category of a fairing used in a structure, vehicle, or assembly.
-
C.
turbineType
Indicates the specific kind or category of turbine associated with or used by an entity.
-
D.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
-
E.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
- F. None of above. chosen
Provenance (4 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef42b4008190abed9d79926c7022 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb9e6b0819093863959a6e5730a |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.