Triple
T22544517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brahma-datta Rama |
E557382
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Renuka |
—
|
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: Renuka | Statement: [Brahma-datta Rama, parent, Renuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renuka Context triple: [Brahma-datta Rama, parent, Renuka]
-
A.
Renuka
chosen
Renuka is a revered figure in Hindu mythology, best known as the virtuous wife of sage Jamadagni and mother of the warrior-sage Parashurama.
-
B.
Jambavati
Jambavati is a prominent queen of the Hindu deity Krishna, revered in scripture as one of his principal consorts and the daughter of the bear-king Jambavan.
-
C.
Naraini
Naraini is a town and administrative subdivision located in the Banda district of Uttar Pradesh, India.
-
D.
Vaidehi
Vaidehi is an epithet of Sita, the revered heroine of the Hindu epic Ramayana and wife of Lord Rama.
-
E.
Nalini
Nalini is an Indian senior advocate and prominent lawyer, best known for her work in constitutional and criminal law and for being the wife of former Finance Minister P. Chidambaram.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f34a0688190ad55be067db8e21b |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.