Triple
T5374250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalinga Prize |
E108921
|
entity |
| Predicate | typicalLaureateProfile |
P2730
|
FINISHED |
| Object | scientist engaged in public outreach |
—
|
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: scientist engaged in public outreach | Statement: [Kalinga Prize, typicalLaureateProfile, scientist engaged in public outreach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLaureateProfile Context triple: [Kalinga Prize, typicalLaureateProfile, scientist engaged in public outreach]
-
A.
typicalLaureateType
chosen
Indicates the usual or most common type or category of laureate associated with something.
-
B.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
C.
notableLaureatesInclude
Indicates that a group, institution, or award has among its distinguished recipients or members certain specified laureates.
-
D.
honoreeKnownFor
Indicates that an honoree is recognized or celebrated specifically for a particular work, achievement, contribution, or notable attribute.
-
E.
coLaureateWith
Indicates that two entities share the status of being laureates of the same award or honor, typically in the same year or category.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.