Triple
T21319960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urmila |
E525584
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Sunaina |
—
|
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: Sunaina | Statement: [Urmila, hasRelative, Sunaina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunaina Context triple: [Urmila, hasRelative, Sunaina]
-
A.
Sunaina
chosen
Sunaina is a female given name commonly used in India and other South Asian communities.
-
B.
Sunanda
Sunanda is a person known primarily as the sibling of Nanda.
-
C.
Surabhi
Surabhi is a divine cow-goddess in Hindu mythology, revered as the mother of cattle and a symbol of abundance and nourishment.
-
D.
Subodhini
Subodhini is a renowned Sanskrit commentary on the Bhagavata Purana composed by the Vaishnava philosopher Vallabhacharya, foundational to the Pushtimarg tradition.
-
E.
Shobana
Shobana is an acclaimed Indian film actress and classical Bharatanatyam dancer best known for her powerful performances in Malayalam cinema.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ecfb7d481909cb73f95c3ddd9ed |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:39 p.m.