Triple
T26674107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Nottingham |
E672411
|
entity |
| Predicate | usedAsPoliticalReward |
P31175
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Earl of Nottingham, usedAsPoliticalReward, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsPoliticalReward Context triple: [Earl of Nottingham, usedAsPoliticalReward, true]
-
A.
usedAsPoliticalPawnBy
Indicates that one entity is manipulated or exploited by another for political advantage or strategic political purposes.
-
B.
rewardUse
Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
-
C.
grantedAsRewardFor
chosen
Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
-
D.
usesPoliticalSymbol
Indicates that an entity employs or displays a political symbol in its actions, communications, or representations.
-
E.
bribedBy
Indicates that an entity has received a bribe from another entity, implying an exchange of value to influence the entity’s actions or decisions.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 27, 2026, 3:15 a.m.