Triple
T503608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajay Banga |
E10452
|
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: [Ajay Banga, givenName, Ajaypal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajaypal Context triple: [Ajay Banga, givenName, Ajaypal]
-
A.
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.
-
B.
Sanjiv Singh
Sanjiv Singh is a robotics researcher and professor known for his work in autonomous systems and field robotics at Carnegie Mellon University.
-
C.
Vijay Kumar
Vijay Kumar is a prominent roboticist and engineer known for his pioneering work in multi-robot systems and aerial robotics.
-
D.
Rajat Monga
Rajat Monga is a computer scientist and engineer best known as a co-creator and early lead of TensorFlow at Google Brain.
-
E.
Satyendra
Satyendra is the given name of Satyendra Nath Bose, the Indian physicist whose work on quantum mechanics led to the concept of bosons and Bose–Einstein statistics.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1357738819085eae6c10fa2fca9 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a49eb990308190a3306f5408eec850 |
completed | March 1, 2026, 8:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.