Triple
T3848493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandey |
E85231
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Pandeyji |
E85231
|
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: Pandeyji | Statement: [Pandey, hasVariant, Pandeyji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pandeyji Context triple: [Pandey, hasVariant, Pandeyji]
-
A.
Pandey
chosen
Pandey is an Indian surname commonly associated with Brahmin communities, notably borne by figures such as the 19th-century revolutionary Mangal Pandey.
-
B.
Chholiya
Chholiya is a traditional folk dance of the Kumaon region of Uttarakhand, India, often performed at weddings and festivals and characterized by its sword-and-shield martial style.
-
C.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
D.
Subhash
Subhash is one of the central protagonists of Jhumpa Lahiri’s novel "The Lowland," depicted as a thoughtful, reserved brother whose life diverges sharply from his more radical sibling’s amid political turmoil in India.
-
E.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcc8a0481909c35161336bdfbf9 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b50414acdc81909bf0b62afa3fe536 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.