Triple
T21945047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drishyam |
E541912
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mohanlal |
—
|
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: Mohanlal | Statement: [Drishyam, starring, Mohanlal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohanlal Context triple: [Drishyam, starring, Mohanlal]
-
A.
Mohanlal
chosen
Mohanlal is a highly acclaimed Indian film actor, primarily known for his work in Malayalam cinema, celebrated for his versatile performances and numerous prestigious awards.
-
B.
Mohanlal Gautam
Mohanlal Gautam was an Indian political figure associated with the early socialist movement who played a key role in establishing the Congress Socialist Party.
-
C.
Mammootty
Mammootty is a legendary Indian film actor and Malayalam cinema icon renowned for his versatile performances across hundreds of films and multiple decades.
-
D.
Dileep
Dileep is an Indian film actor and producer best known for his work in Malayalam cinema.
-
E.
Prithviraj Sukumaran
Prithviraj Sukumaran is an acclaimed Indian film actor, producer, and director primarily known for his work in Malayalam cinema, with notable performances across multiple South Indian and Hindi films.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.