Triple
T21916749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. T. Vasudevan Nair |
E541199
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nair |
—
|
NE NERFINISHED |
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: Nair | Statement: [M. T. Vasudevan Nair, familyName, Nair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nair Context triple: [M. T. Vasudevan Nair, familyName, Nair]
-
A.
Nair
chosen
Nair is a common Indian surname and community name, particularly associated with a historically influential Hindu caste group from the state of Kerala.
-
B.
Veet
Veet is a widely sold brand of chemical depilatory products used for at-home hair removal.
-
C.
Neutrogena Wing
Neutrogena Wing is a dedicated gallery space within the Museum of International Folk Art that showcases a significant collection of global folk and traditional arts.
-
D.
Axe
Axe is a popular men’s grooming brand known for its deodorants, body sprays, and personal care products marketed with a youthful, edgy image.
-
E.
Garnier
Garnier is a French surname most famously associated with architect Charles Garnier, designer of the Paris Opéra.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233858308190a877d8015db4d380 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:43 p.m.