Triple
T19731289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dronacharya |
E473859
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kripi |
—
|
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: Kripi | Statement: [Dronacharya, spouse, Kripi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kripi Context triple: [Dronacharya, 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.
Krioyo
Krioyo is an ethnonym referring to Creole Surinamese people of mixed African and European descent in Suriname.
-
C.
Sikrai
Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
-
D.
Kreli
Kreli was a Xhosa military leader who played a significant role in resisting British colonial forces during the Ninth Frontier War in South Africa.
-
E.
Kruso
Kruso is a critically acclaimed novel by Lutz Seiler that explores friendship, exile, and the final days of East Germany on a Baltic Sea island.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:47 p.m.