Triple
T11112178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Da. Ra. Bendre |
E262783
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Aralu Maralu |
E262788
|
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: Aralu Maralu | Statement: [Da. Ra. Bendre, notableWork, Aralu Maralu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aralu Maralu Context triple: [Da. Ra. Bendre, notableWork, Aralu Maralu]
-
A.
Aralu Maralu
chosen
Aralu Maralu is a celebrated Kannada literary work by the renowned poet D. R. Bendre, known for its lyrical depth and exploration of human emotions.
-
B.
Amarar
Amarar is the native name used by the Beja people to refer to themselves or their community.
-
C.
Arichal Munai
Arichal Munai is a scenic coastal viewpoint near Dhanushkodi at the southeastern tip of India, known for its confluence of seas and mythological association with the Ramayana.
-
D.
Marau
Marau is an Oceanic language spoken by a small community in Papua New Guinea.
-
E.
Sam’al
Sam’al was an important Iron Age city-state and archaeological site in the Syro-Anatolian region, known for its monumental architecture and distinctive Aramaic and Luwian inscriptions.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa42ec4819085a2e802e00d9f02 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d78c71c81908671a93ac5196c0a |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.