Triple
T23844982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smiling Buddha |
E591093
|
entity |
| Predicate | IndiraGandhiRole |
P66332
|
FINISHED |
| Object | Prime Minister of India |
—
|
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: Prime Minister of India | Statement: [Smiling Buddha, IndiraGandhiRole, Prime Minister of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IndiraGandhiRole Context triple: [Smiling Buddha, IndiraGandhiRole, Prime Minister of India]
-
A.
marriedToFirstPresidentOfIndia
Indicates being the spouse of the person who served as the first President of India.
-
B.
primeMinisterRole
chosen
Indicates that an entity holds or fulfills the role, office, or position of prime minister in relation to a state or governing body.
-
C.
SuhrawardyRole
Indicates that an entity holds or held a specific role, position, or function in relation to Suhrawardy.
-
D.
designatedAsFirstGovernorGeneralOfIndia
Indicates that one entity was formally designated or recognized as the first Governor-General of India in relation to the other entity.
-
E.
wasInOfficeAsChiefMinisterOfHaryana
Indicates that a person held and served in the position of Chief Minister of the Indian state of Haryana during a specified period.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88a4b948190989a261e79b996a6 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:09 p.m.