Triple
T1227720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dasgupta |
E26363
|
entity |
| Predicate | notableBearersInField |
P2531
|
FINISHED |
| Object | academia |
—
|
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: academia | Statement: [Dasgupta, notableBearersInField, academia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBearersInField Context triple: [Dasgupta, notableBearersInField, academia]
-
A.
hasNotableFieldOfBearers
chosen
Indicates that the entities share a significant or distinguished area of activity, expertise, or achievement associated with their bearers.
-
B.
notableBearerFullName
Indicates that a full personal name is that of a notable or well-known bearer associated with the referenced entity.
-
C.
notableFieldOfRecipients
Indicates that the recipients are notable or recognized specifically in a particular field or area of expertise.
-
D.
hasNotableBearer
Indicates that an entity (such as a name, title, or identifier) is borne by at least one notable person or entity.
-
E.
notableHolder
Indicates that a person or entity is a distinguished or prominent holder of a particular position, title, or role.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3c5d4c819087f9e9e37204c3be |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb65d61c8190bf0424ea0019a98b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.