Triple
T16183207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhanu Athaiya |
E392735
|
entity |
| Predicate | reasonForReturningAward |
P63062
|
FINISHED |
| Object | concern about preservation and security |
—
|
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: concern about preservation and security | Statement: [Bhanu Athaiya, reasonForReturningAward, concern about preservation and security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForReturningAward Context triple: [Bhanu Athaiya, reasonForReturningAward, concern about preservation and security]
-
A.
reasonForReturn
chosen
Indicates the reason or cause why an item, product, or entity is being sent back or returned.
-
B.
specialAwardReason
Indicates the specific reason or justification for which a special award is given to an entity.
-
C.
reasonForReversal
Indicates the specific cause or justification for undoing, overturning, or reversing a prior decision, action, or outcome.
-
D.
reasonForReoffer
Indicates the reason or justification for presenting something again after it was previously offered.
-
E.
reasonForGrant
Indicates the justification, purpose, or cause for which a grant is awarded or provided.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.