Triple
T4518219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janissary Agha |
E103203
|
entity |
| Predicate | couldInfluence |
P9
|
FINISHED |
| Object | succession politics in the Ottoman Empire |
—
|
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: succession politics in the Ottoman Empire | Statement: [Janissary Agha, couldInfluence, succession politics in the Ottoman Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: couldInfluence Context triple: [Janissary Agha, couldInfluence, succession politics in the Ottoman Empire]
-
A.
influenced
chosen
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
B.
seeksToInfluence
Indicates an entity’s intention or effort to affect, shape, or alter another entity’s behavior, decisions, or state.
-
C.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
-
D.
influencedByClaim
Indicates that an entity’s state, behavior, or status is affected or shaped by a specific claim.
-
E.
administrativeInfluenceOn
Indicates that one entity has the authority or capacity to affect, direct, or shape the administration, management, or governance of another entity.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd57465a10819086866e29f7a6eb02 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:02 p.m.