Triple
T18885326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ustad Bismillah Khan |
E461941
|
entity |
| Predicate | SangeetNatakAkademiAwardYear |
P2671
|
FINISHED |
| Object | 1956 |
—
|
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: 1956 | Statement: [Ustad Bismillah Khan, SangeetNatakAkademiAwardYear, 1956]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SangeetNatakAkademiAwardYear Context triple: [Ustad Bismillah Khan, SangeetNatakAkademiAwardYear, 1956]
-
A.
returnedAwardYear
Indicates the year in which an award that had previously been given was returned or relinquished.
-
B.
awardReceivedYear
chosen
Indicates the specific year in which an entity received a particular award.
-
C.
awardForYear
Indicates that an award is associated with, or was given in, a specific year.
-
D.
yearHonored
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
E.
numberOfNationalFilmAwardsForBestActress
Indicates the count of times an entity has received the National Film Award for Best Actress.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d53e608190b8740c092b6e1523 |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:57 a.m.