Triple
T4781732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durga Bhabhi |
E106381
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Durga Devi |
E20132
|
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: Durga Devi | Statement: [Durga Bhabhi, alsoKnownAs, Durga Devi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durga Devi Context triple: [Durga Bhabhi, alsoKnownAs, Durga Devi]
-
A.
Māyādevī
Māyādevī is revered in Buddhist tradition as the queen and mother of Siddhartha Gautama, who became the Buddha.
-
B.
Jagrani Devi
Jagrani Devi was the mother of Indian revolutionary freedom fighter Chandrasekhar Azad.
-
C.
Goddess Gauri
Goddess Gauri is a revered form of Parvati in Hinduism, symbolizing marital bliss, fertility, and devotion, and is especially worshipped by women in North India.
-
D.
Devi
chosen
Devi is the supreme goddess in Hinduism, embodying the divine feminine power (Shakti) in its many forms such as Durga, Parvati, Lakshmi, and Saraswati.
-
E.
Padma Parvati Lakshmi
Padma Parvati Lakshmi is an Indian-American author, model, and television host best known for presenting the cooking competition show "Top Chef."
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65abd0a08190937102c44d102f12 |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c9b1a348190809c1af686b7101a |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:22 p.m.