Triple
T5670648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhrol State |
E124966
|
entity |
| Predicate | rulingClan |
P9023
|
FINISHED |
| Object | Jadeja Rajput |
E514679
|
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: Jadeja Rajput | Statement: [Dhrol State, rulingClan, Jadeja Rajput]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jadeja Rajput Context triple: [Dhrol State, rulingClan, Jadeja Rajput]
-
A.
Jadeja Rajput
chosen
Jadeja Rajput refers to a prominent Rajput clan historically known for ruling several princely states in western India, particularly in present-day Gujarat and Kutch.
-
B.
Rajat Kapoor
Rajat Kapoor is an Indian actor, writer, and filmmaker known for his work in independent cinema and acclaimed films such as "Bheja Fry," "Mithya," and "Ankhon Dekhi."
-
C.
Kirron Kher
Kirron Kher is an Indian film and television actress and politician known for her powerful character roles in Hindi cinema and her work as a Member of Parliament.
-
D.
Somesh Jha
Somesh Jha is a computer scientist known for his research in formal methods, security, and software verification.
-
E.
Rajkummar Rao
Rajkummar Rao is an acclaimed Indian film actor known for his versatile performances in Hindi cinema, particularly in critically praised independent and mainstream films.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02349b570819090f754a2f25e4cf3 |
completed | March 22, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04db2c07c8190a3ee489146951d2d |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.