Triple
T22292515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashok Saraf |
E551031
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Dhum Dhadaka
Dhum Dhadaka is a popular Marathi comedy film best known for its humorous storyline and memorable performance by Ashok Saraf.
|
E1528897
|
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: Dhum Dhadaka | Statement: [Ashok Saraf, notableWork, Dhum Dhadaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhum Dhadaka Context triple: [Ashok Saraf, notableWork, Dhum Dhadaka]
-
A.
Dhumakot
Dhumakot is a small town in the hilly region of Uttarakhand, India, known for its rural setting and scenic surroundings.
-
B.
Dhoom Machale
"Dhoom Machale" is a popular high-energy Bollywood song from the film "Dhoom," widely recognized as one of Sunidhi Chauhan's signature dance tracks.
-
C.
Kaalpurush
Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
-
D.
Aakrosh
Aakrosh is a critically acclaimed 1980 Indian Hindi-language crime drama film directed by Govind Nihalani, known for its powerful social commentary and intense performances.
-
E.
Dhoom
Dhoom is a popular Indian action thriller film franchise known for its high-speed bike chases, stylish heists, and charismatic anti-heroes.
- 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: Dhum Dhadaka Triple: [Ashok Saraf, notableWork, Dhum Dhadaka]
Generated description
Dhum Dhadaka is a popular Marathi comedy film best known for its humorous storyline and memorable performance by Ashok Saraf.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dhum Dhadaka Target entity description: Dhum Dhadaka is a popular Marathi comedy film best known for its humorous storyline and memorable performance by Ashok Saraf.
-
A.
Dhumakot
Dhumakot is a small town in the hilly region of Uttarakhand, India, known for its rural setting and scenic surroundings.
-
B.
Dhoom Machale
"Dhoom Machale" is a popular high-energy Bollywood song from the film "Dhoom," widely recognized as one of Sunidhi Chauhan's signature dance tracks.
-
C.
Kaalpurush
Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
-
D.
Aakrosh
Aakrosh is a critically acclaimed 1980 Indian Hindi-language crime drama film directed by Govind Nihalani, known for its powerful social commentary and intense performances.
-
E.
Dhoom
Dhoom is a popular Indian action thriller film franchise known for its high-speed bike chases, stylish heists, and charismatic anti-heroes.
- 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_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. |
| NEDg | Description generation | batch_6a0abdfae68c81909445ae82412f35c4 |
completed | May 18, 2026, 7:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abf0bf9f88190baa7f6d55a8d9095 |
completed | May 18, 2026, 7:26 a.m. |
Created at: April 16, 2026, 8:41 p.m.