Triple
T22292523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashok Saraf |
E551031
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Karan Arjun |
E1466591
|
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: Karan Arjun | Statement: [Ashok Saraf, notableWork, Karan Arjun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karan Arjun Context triple: [Ashok Saraf, notableWork, Karan Arjun]
-
A.
Karan Arjun
chosen
Karan Arjun is a 1995 Indian Hindi-language action drama film directed by Rakesh Roshan, known for its blend of reincarnation, family revenge, and star performances by Shah Rukh Khan and Salman Khan.
-
B.
Karan Kapoor
Karan Kapoor is an Indian-born former model, photographer, and actor known for his work in 1980s Hindi cinema and British television, as well as for being part of the prominent Kapoor film family.
-
C.
Siddharth
Siddharth is an Indian actor known for his work in Hindi and South Indian cinema, including a prominent role in the film "Rang De Basanti."
-
D.
Karanvir Sharma
Karanvir Sharma is an Indian film and television actor known for his roles in Hindi movies and popular TV dramas.
-
E.
Rahul Khanna
Rahul Khanna is an Indian actor known for his work in Hindi films and television, often recognized for his nuanced performances and understated screen presence.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abcb1db708190867a631a29583908 |
completed | May 18, 2026, 7:16 a.m. |
Created at: April 16, 2026, 8:41 p.m.