Triple
T6084899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virat Kohli |
E135612
|
entity |
| Predicate | hasWon |
P2624
|
FINISHED |
| Object | Padma Shri |
E40489
|
NE 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: Padma Shri | Statement: [Virat Kohli, hasWon, Padma Shri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Padma Shri Context triple: [Virat Kohli, hasWon, Padma Shri]
-
A.
Padma Shri
chosen
Padma Shri is one of India’s highest civilian honors, awarded by the Government of India to individuals for distinguished contributions in various fields such as arts, education, literature, science, sports, and public service.
-
B.
Padma Bhushan
The Padma Bhushan is one of India’s highest civilian honors, awarded by the Government of India for distinguished service of a high order in any field.
-
C.
Padma Vibhushan
The Padma Vibhushan is India’s second-highest civilian award, conferred for exceptional and distinguished service in any field.
-
D.
Bharat Ratna
Bharat Ratna is India’s highest civilian award, conferred for exceptional service or performance of the highest order in any field of human endeavor.
-
E.
Padma awards
The Padma awards are among India’s highest civilian honors, recognizing exceptional contributions in various fields such as arts, literature, science, public service, and social work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057891dc88190997c4e32b2261fb3 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6409d48408190b2048c07272277ac |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 4:12 p.m.