Triple
T2400629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponna |
E47757
|
entity |
| Predicate | contemporaryOf |
P6401
|
FINISHED |
| Object | Ranna |
E53438
|
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: Ranna | Statement: [Ponna, contemporaryOf, Ranna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranna Context triple: [Ponna, contemporaryOf, Ranna]
-
A.
Ranna
chosen
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
-
B.
Noor
Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
-
C.
Ila
Ila is a central fictional character in the 2014 biblical epic film "Noah," portrayed as Noah's adopted daughter and Shem's wife, whose personal journey and relationships drive much of the movie's emotional narrative.
-
D.
Maiana
Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
-
E.
Thaya
Thaya is a river in Central Europe that flows through Austria and the Czech Republic, forming part of the border between the two countries.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8caf12c8190b1482b9bc7bf9606 |
completed | March 7, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf3d44b48190aa405ee612cdf57c |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:57 p.m.