Triple
T20295221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anjana |
E505329
|
entity |
| Predicate | husband |
P21331
|
FINISHED |
| Object | Kesari |
—
|
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: Kesari | Statement: [Anjana, husband, Kesari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kesari Context triple: [Anjana, husband, Kesari]
-
A.
Kesari
chosen
Kesari is a figure in Hindu mythology known as the vanara chief and father of the deity Hanuman.
-
B.
Kesari
Kesari is a historic Marathi-language newspaper from India, founded by Bal Gangadhar Tilak, that played a key role in the Indian independence movement.
-
C.
Rajkahini
Rajkahini is a Bengali period drama film set against the backdrop of the 1947 Partition of Bengal, known for its ensemble cast of women and its exploration of displacement, violence, and identity.
-
D.
Raja Hindustani
Raja Hindustani is a popular 1996 Hindi romantic drama film starring Aamir Khan and Karisma Kapoor, known for its emotional storyline and hit music.
-
E.
Padmavati
Padmavati is a revered Hindu goddess, considered an incarnation of Lakshmi and the consort of Lord Venkateswara, widely worshipped in South India.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770714c4819080e3256325747ebf |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:15 a.m.