Triple
T10213334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru (2007 film) |
E242382
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Abhishek Bachchan |
E673482
|
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: Abhishek Bachchan | Statement: [Guru (2007 film), leadActor, Abhishek Bachchan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abhishek Bachchan Context triple: [Guru (2007 film), leadActor, Abhishek Bachchan]
-
A.
Abhishek Bachchan
chosen
Abhishek Bachchan is an Indian film actor and producer known for his work in Bollywood across a range of commercial and critically acclaimed movies.
-
B.
Rajat Kapoor
Rajat Kapoor is an Indian actor, writer, and filmmaker known for his work in independent cinema and acclaimed films such as "Bheja Fry," "Mithya," and "Ankhon Dekhi."
-
C.
Vikrant Kapoor
Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
-
D.
Ranbir Kapoor
Ranbir Kapoor is a prominent Indian film actor and producer known for his leading roles in contemporary Hindi cinema.
-
E.
Sonu Sood
Sonu Sood is an Indian actor and film producer known for his roles in Hindi, Telugu, and other regional films, as well as for his extensive humanitarian and philanthropic work.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c77f65c8190862fde1c2fae045b |
completed | April 9, 2026, 3:26 a.m. |
Created at: April 6, 2026, 11:03 a.m.