Triple
T16791970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajat Kapoor |
E408131
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mithya
Mithya is a 2008 Indian black comedy thriller film directed by Rajat Kapoor, known for its darkly humorous take on identity and the Mumbai underworld.
|
E1233629
|
NE FINISHED |
How this triple was built (4 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: Mithya | Statement: [Rajat Kapoor, notableWork, Mithya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mithya Context triple: [Rajat Kapoor, notableWork, Mithya]
-
A.
Shubrakhit
Shubrakhit is a town in Egypt’s Nile Delta region, located within the Beheira Governorate.
-
B.
Niśītha
Niśītha is a key Jain canonical text within the Chedasutras, dealing primarily with monastic discipline and rules of conduct for ascetics.
-
C.
Dhrishta
Dhrishta is a figure in Hindu mythology known as one of the sons of Shraddhadeva Manu, associated with the early dynastic lineages of humanity.
-
D.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
-
E.
Mathra
Mathra is a town and administrative area located within Pakistan’s Khyber Pakhtunkhwa province, forming part of the greater Peshawar region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mithya Triple: [Rajat Kapoor, notableWork, Mithya]
Generated description
Mithya is a 2008 Indian black comedy thriller film directed by Rajat Kapoor, known for its darkly humorous take on identity and the Mumbai underworld.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mithya Target entity description: Mithya is a 2008 Indian black comedy thriller film directed by Rajat Kapoor, known for its darkly humorous take on identity and the Mumbai underworld.
-
A.
Shubrakhit
Shubrakhit is a town in Egypt’s Nile Delta region, located within the Beheira Governorate.
-
B.
Niśītha
Niśītha is a key Jain canonical text within the Chedasutras, dealing primarily with monastic discipline and rules of conduct for ascetics.
-
C.
Dhrishta
Dhrishta is a figure in Hindu mythology known as one of the sons of Shraddhadeva Manu, associated with the early dynastic lineages of humanity.
-
D.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
-
E.
Mathra
Mathra is a town and administrative area located within Pakistan’s Khyber Pakhtunkhwa province, forming part of the greater Peshawar region.
- F. None of above. chosen
Provenance (5 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a6c9888190b3f8f625b299574d |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab0c39108190a332fdc78c053628 |
completed | May 10, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_6a00ac621b3881908887b640bf3e3fce |
completed | May 10, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00acc3a9dc819087e07e539760bf34 |
completed | May 10, 2026, 4:05 p.m. |
Created at: April 10, 2026, 5:22 a.m.