Triple
T20351927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abhijit |
E496032
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Abhijeet |
E496032
|
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: Abhijeet | Statement: [Abhijit, hasVariantSpelling, Abhijeet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abhijeet Context triple: [Abhijit, hasVariantSpelling, Abhijeet]
-
A.
Nishant
Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
-
B.
Abhishek Verma
Abhishek Verma is a computer scientist best known as a co-creator of Google Borg, the large-scale cluster management and scheduling system that inspired Kubernetes.
-
C.
Abhijit
chosen
Abhijit is a common Indian male given name of Sanskrit origin, often associated with success and victory.
-
D.
Nikhil
Nikhil is a person known primarily as the spouse of Bimala.
-
E.
Nikhil
Nikhil is an individual whose ideological views differ significantly from those held by Sandip.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086967aef88190b138be722f410e82 |
completed | May 16, 2026, 12:56 p.m. |
Created at: April 16, 2026, 11:24 a.m.