Triple
T4823508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drona |
E107765
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kripi |
E449039
|
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: Kripi | Statement: [Drona, spouse, Kripi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kripi Context triple: [Drona, spouse, Kripi]
-
A.
Kripi
chosen
Kripi is a character from the Indian epic Mahabharata, known as the wife of the warrior Dronacharya and the sister of Kripa.
-
B.
Cribyn
Cribyn is a prominent mountain peak in the central Brecon Beacons of South Wales, popular with hikers for its steep slopes and panoramic views.
-
C.
Klausi
Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
-
D.
Makhfi
Makhfi was the pen name of Mughal princess Zeb-un-Nissa, known for her Persian poetry and literary patronage in 17th-century India.
-
E.
Klyuchi
Klyuchi is a rural settlement in Russia’s Kamchatka Peninsula known primarily as the closest community to the active Klyuchevskoy volcano.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cac2bd08190b3f7cfe691fed052 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dc6ddcc8190903c0737476bbe36 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.