Triple
T23237659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumitra Bhave |
E581346
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kaasav |
—
|
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: Kaasav | Statement: [Sumitra Bhave, notableWork, Kaasav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaasav Context triple: [Sumitra Bhave, notableWork, Kaasav]
-
A.
Kaasav
chosen
Kaasav is a critically acclaimed Marathi-language film that sensitively explores mental health and human relationships, co-directed by Sunil Sukthankar and Sumitra Bhave.
-
B.
Kasavakan
Kasavakan is a village in Taiwan associated with the Puyuma Indigenous people, where the Puyuma language is traditionally spoken.
-
C.
Kaikesi
Kaikesi is a figure in the Hindu epic Ramayana, known as the rakshasi queen of Lanka and the mother of Ravana, Kumbhakarna, and Vibhishana.
-
D.
Kösseine
Kösseine is a prominent granite mountain in northeastern Bavaria, Germany, known for its scenic views and hiking trails within the Fichtel Mountains.
-
E.
Kaskelen
Kaskelen is a town in southeastern Kazakhstan that serves as a local center within the Almaty Region, situated near the city of Almaty.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ea590c81908cd677d89f67d49f |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:09 p.m.