Triple
T21772844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamadagni |
E537478
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Richika |
—
|
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: Richika | Statement: [Jamadagni, father, Richika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richika Context triple: [Jamadagni, father, Richika]
-
A.
Richika
chosen
Richika is an ancient Vedic sage associated with the Bhrigu lineage in Hindu tradition.
-
B.
Mehra
Mehra is an Indian surname commonly associated with North Indian communities and notably borne by figures such as filmmaker Rakeysh Omprakash Mehra.
-
C.
Khaitan
Khaitan is a residential suburb and district in Kuwait known for its dense population and diverse expatriate community.
-
D.
Madha
Madha is an Omani exclave town surrounded by the United Arab Emirates, known for its unique geopolitical position and belonging administratively to Oman’s Musandam Governorate.
-
E.
Nabha
Nabha is a historic town in the Indian state of Punjab, known for its former princely state status and cultural heritage.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031af6a488190a2dcebed43d199d4 |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.