Triple
T5622016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agrawal |
E147629
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Agrawaal |
E147629
|
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: Agrawaal | Statement: [Agrawal, hasVariant, Agrawaal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agrawaal Context triple: [Agrawal, hasVariant, Agrawaal]
-
A.
Agrawal
chosen
Agrawal is an Indian surname commonly associated with a prominent mercantile and business community originating from northern India.
-
B.
Shravikas
Shravikas are lay followers in Jainism who observe religious duties and ethical principles while living a household life outside the monastic order.
-
C.
Bhavish Aggarwal
Bhavish Aggarwal is an Indian entrepreneur best known for co-founding and leading the ride-hailing and mobility company Ola.
-
D.
Krishna Bharadwaj
Krishna Bharadwaj was an influential Indian economist known for her work in classical political economy and development economics, and for her role in shaping economic thought and teaching in India.
-
E.
Jaideep Ahlawat
Jaideep Ahlawat is an Indian actor known for his powerful character roles in films and web series such as "Gangs of Wasseypur," "Raazi," and "Paatal Lok."
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022133eec819086acb04864dde5ee |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d9efae4819089c595682e270188 |
completed | March 22, 2026, 11:39 p.m. |
Created at: March 22, 2026, 3:40 p.m.