Triple
T22292209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harishchandrachi Factory |
E551025
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Paresh Mokashi |
—
|
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: Paresh Mokashi | Statement: [Harishchandrachi Factory, writer, Paresh Mokashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paresh Mokashi Context triple: [Harishchandrachi Factory, writer, Paresh Mokashi]
-
A.
Paresh Mokashi
chosen
Paresh Mokashi is an Indian filmmaker and theatre director best known for his acclaimed Marathi film "Harishchandrachi Factory," which depicts the making of India's first feature film.
-
B.
Upendra Limaye
Upendra Limaye is an Indian actor known for his powerful character roles in Marathi and Hindi cinema, often in gritty, realistic films.
-
C.
Sunil Sukthankar
Sunil Sukthankar is an acclaimed Indian filmmaker known for his influential work in contemporary Marathi cinema, often focusing on socially relevant and realistic themes.
-
D.
Jigar Shah
Jigar Shah is a clean energy entrepreneur and investor best known as the founder of SunEdison and a prominent advocate for market-based climate solutions.
-
E.
Milind Gunaji
Milind Gunaji is an Indian actor and model known for his intense screen presence and prominent roles in Hindi and Marathi cinema.
- 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.