Triple
T8667465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajith Kumar |
E205711
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Vivegam
Vivegam is a 2017 Tamil-language action thriller film starring Ajith Kumar as an elite counter-terrorism agent on a high-stakes mission.
|
E758546
|
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: Vivegam | Statement: [Ajith Kumar, notableWork, Vivegam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivegam Context triple: [Ajith Kumar, notableWork, Vivegam]
-
A.
Brindavanam
Brindavanam is a 2010 Telugu-language romantic comedy film starring N. T. Rama Rao Jr., known for its family-centric storyline, entertainment value, and commercial success.
-
B.
Veedu
Veedu is a critically acclaimed Indian Tamil-language film directed by Balu Mahendra, known for its realistic portrayal of middle-class struggles and understated storytelling.
-
C.
Yevadu
Yevadu is a 2014 Telugu-language action thriller film starring Ram Charan, known for its high-octane action sequences and commercial success in Indian cinema.
-
D.
Soggadu
Soggadu is a popular 1975 Telugu romantic drama film produced by D. Ramanaidu, regarded as one of the classics of Telugu cinema.
-
E.
Dasavathaaram
Dasavathaaram is a 2008 Indian Tamil science-fiction action film famed for Kamal Haasan’s portrayal of ten distinct roles and its complex, time-spanning narrative.
- 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: Vivegam Triple: [Ajith Kumar, notableWork, Vivegam]
Generated description
Vivegam is a 2017 Tamil-language action thriller film starring Ajith Kumar as an elite counter-terrorism agent on a high-stakes mission.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vivegam Target entity description: Vivegam is a 2017 Tamil-language action thriller film starring Ajith Kumar as an elite counter-terrorism agent on a high-stakes mission.
-
A.
Brindavanam
Brindavanam is a 2010 Telugu-language romantic comedy film starring N. T. Rama Rao Jr., known for its family-centric storyline, entertainment value, and commercial success.
-
B.
Veedu
Veedu is a critically acclaimed Indian Tamil-language film directed by Balu Mahendra, known for its realistic portrayal of middle-class struggles and understated storytelling.
-
C.
Yevadu
Yevadu is a 2014 Telugu-language action thriller film starring Ram Charan, known for its high-octane action sequences and commercial success in Indian cinema.
-
D.
Soggadu
Soggadu is a popular 1975 Telugu romantic drama film produced by D. Ramanaidu, regarded as one of the classics of Telugu cinema.
-
E.
Dasavathaaram
Dasavathaaram is a 2008 Indian Tamil science-fiction action film famed for Kamal Haasan’s portrayal of ten distinct roles and its complex, time-spanning narrative.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a34b808190aa9aed9cdb2900e6 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6ed1e0548190b02d43c5d7e65e08 |
completed | April 3, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69cf7101b0088190843affad2474eb32 |
completed | April 3, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf725ebb4c8190be3b19e9c5e854ac |
completed | April 3, 2026, 7:55 a.m. |
Created at: March 30, 2026, 6:31 p.m.