Triple
T15337148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram V. Sutar |
E366696
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ram V. Sutar |
E366696
|
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: Ram V. Sutar | Statement: [Ram V. Sutar, name, Ram V. Sutar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ram V. Sutar Context triple: [Ram V. Sutar, name, Ram V. Sutar]
-
A.
Ram V. Sutar
chosen
Ram V. Sutar is an acclaimed Indian sculptor renowned for creating monumental statues, including some of the world's tallest and most prominent public sculptures.
-
B.
V. S. Khandekar
V. S. Khandekar was a prominent 20th-century Indian writer best known for his influential Marathi novels and short stories, including the Jnanpith Award-winning novel "Yayati."
-
C.
Ramesh Tawadkar
Ramesh Tawadkar is an Indian politician from Goa who serves as the Speaker of the Goa Legislative Assembly and is associated with the Bharatiya Janata Party (BJP).
-
D.
Mahesh Elkunchwar
Mahesh Elkunchwar is a prominent Indian dramatist acclaimed for his innovative and influential contributions to modern Marathi theatre.
-
E.
Rameshwar S. Bhagat
Rameshwar S. Bhagat is an Indian film editor known for his work on major Bollywood productions.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e11b22c81908280efe65acd5454 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f11b88819089342e8b088bc95e |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.