Triple
T2866290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajaypal Singh Banga |
E63445
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ajaypal |
E63445
|
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: Ajaypal | Statement: [Ajaypal Singh Banga, givenName, Ajaypal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajaypal Context triple: [Ajaypal Singh Banga, givenName, Ajaypal]
-
A.
Nirvikar Singh
Nirvikar Singh is an economist and academic known for his contributions to economic theory and policy, associated with leading institutions such as the Delhi School of Economics.
-
B.
Ajaypal Singh Banga
chosen
Ajaypal Singh Banga is an Indian-American business executive and former Mastercard CEO who currently serves as President of the World Bank Group.
-
C.
Madanjeet Singh
Madanjeet Singh was an Indian diplomat, artist, and UNESCO Goodwill Ambassador known for his lifelong advocacy of peace, tolerance, and non-violence.
-
D.
Satwant Singh
Satwant Singh was one of the Sikh bodyguards who assassinated Indian Prime Minister Indira Gandhi in 1984, an event that triggered widespread anti-Sikh riots across India.
-
E.
Sanjiv Singh
Sanjiv Singh is a robotics researcher and professor known for his work in autonomous systems and field robotics at Carnegie Mellon University.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfbb7ed4819096ca65391077e2af |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0314fe01081908dad360ba7f3944e |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:02 p.m.