Triple
T22292363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fandry |
E551028
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Somnath Awghade |
—
|
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: Somnath Awghade | Statement: [Fandry, castMember, Somnath Awghade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somnath Awghade Context triple: [Fandry, castMember, Somnath Awghade]
-
A.
Somnath Awghade
chosen
Somnath Awghade is an Indian actor best known for his acclaimed performance in the Marathi film "Fandry," which brought him significant recognition.
-
B.
Vijayendra Ghatge
Vijayendra Ghatge is an Indian film and television actor known for his character roles in Hindi cinema and popular TV serials.
-
C.
Achyut Potdar
Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
-
D.
Ajit Vachani
Ajit Vachani was an Indian film and television actor known for his supporting and character roles in popular Hindi movies and TV serials of the 1980s and 1990s.
-
E.
Laxman Utekar
Laxman Utekar is an Indian cinematographer-turned-film director known for his work in Hindi cinema, including directing films like Luka Chuppi and Mimi.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:41 p.m.