Triple
T25573332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nawabi court of Bengal |
E641035
|
entity |
| Predicate | hasNotableCourtier |
P154906
|
FINISHED |
| Object | Munny Begum |
—
|
NE NERFINISHED |
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: Munny Begum | Statement: [Nawabi court of Bengal, hasNotableCourtier, Munny Begum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCourtier Context triple: [Nawabi court of Bengal, hasNotableCourtier, Munny Begum]
-
A.
notableCourtier
chosen
Indicates that a person served as a courtier and is recognized as particularly prominent or noteworthy in that role.
-
B.
hasNotableCelebrant
Indicates that an entity (such as an event, holiday, or occasion) is associated with a specific person or group who is prominently recognized for celebrating or observing it.
-
C.
hasNotableJudge
Indicates that an entity is associated with a judge who is distinguished, prominent, or otherwise notable in some recognized way.
-
D.
hasNotableAuthorityFigure
Indicates that an entity is associated with a prominent individual who holds significant authority or leadership over it.
-
E.
hasNotableSpeaker
Indicates that an event, gathering, or occasion features a speaker who is distinguished or noteworthy in some significant way.
- 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_69e75dc281bc819095ec04dc0c3a94d0 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 21, 2026, 3:59 p.m.