Triple
T22508662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prithi Chand |
E556457
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Mata Bhani |
—
|
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: Mata Bhani | Statement: [Prithi Chand, mother, Mata Bhani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mata Bhani Context triple: [Prithi Chand, mother, Mata Bhani]
-
A.
Mata Bhani
chosen
Mata Bhani was a revered Sikh figure best known as the mother of Guru Arjan, the fifth Sikh Guru.
-
B.
Mata Rani
Mata Rani is a revered Hindu mother goddess, widely worshipped as Vaishno Devi, whose shrine in the Trikuta Mountains near Katra is one of India’s most important pilgrimage destinations.
-
C.
Bhairavi
Bhairavi is a fierce and transformative Hindu goddess associated with destruction, time, and spiritual awakening, revered as one of the ten Mahavidyas in Shakta tradition.
-
D.
Mandavi
Mandavi is a princess from the Hindu epic Ramayana, known as one of King Janaka’s nieces and the devoted wife of Bharata, brother of Lord Rama.
-
E.
Badinî
Badinî is a Northern Kurdish dialect spoken primarily in parts of Turkey, Iraq, and Syria.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ebe5881908a22d519128415f2 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.