Triple
T18387983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apte |
E449641
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Vaman Shivram Apte |
—
|
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: Vaman Shivram Apte | Statement: [Apte, hasNotableBearer, Vaman Shivram Apte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaman Shivram Apte Context triple: [Apte, hasNotableBearer, Vaman Shivram Apte]
-
A.
Vaman Shivram Apte
chosen
Vaman Shivram Apte was a noted 19th-century Indian Sanskrit scholar, lexicographer, and educator known for his influential Sanskrit dictionaries and textbooks.
-
B.
Sita Ramachandra
Sita Ramachandra is a revered Hindu deity form that depicts Lord Rama together with his consort Sita, symbolizing ideal virtue, devotion, and marital harmony.
-
C.
Govind Nihalani
Govind Nihalani is an acclaimed Indian cinematographer and filmmaker known for his work in parallel cinema and socially conscious films.
-
D.
Balu Mahendra
Balu Mahendra was an acclaimed Indian filmmaker and cinematographer known for his visually poetic, character-driven films primarily in Tamil cinema.
-
E.
Hrishikesh Mukherjee
Hrishikesh Mukherjee was a celebrated Indian film director and editor, best known for his warm, middle-class family dramas and comedies in Hindi cinema from the 1960s to the 1980s.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e517a114c08190af1be1ae52c83b63 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:46 a.m.