Triple
T8559093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikram (2022 film) |
E202645
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Chemban Vinod Jose
Chemban Vinod Jose is an Indian actor, screenwriter, and producer primarily known for his character roles in Malayalam cinema.
|
E752753
|
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: Chemban Vinod Jose | Statement: [Vikram (2022 film), stars, Chemban Vinod Jose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chemban Vinod Jose Context triple: [Vikram (2022 film), stars, Chemban Vinod Jose]
-
A.
Ashwanth Ashokkumar
Ashwanth Ashokkumar is an Indian child actor best known for his acclaimed performance in the Tamil film "Super Deluxe."
-
B.
Abey Kuruvilla
Abey Kuruvilla is a former Indian fast bowler who played Test and One Day International cricket for India in the mid-1990s.
-
C.
Arvind Neelakantan
Arvind Neelakantan is a researcher in artificial intelligence and machine learning known for his work on large language models and neural network architectures.
-
D.
Nelson Dilipkumar
Nelson Dilipkumar is an Indian film director and screenwriter known for his darkly comic Tamil-language films and collaborations with major South Indian stars.
-
E.
Vijay Vasudevan
Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
- 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: Chemban Vinod Jose Triple: [Vikram (2022 film), stars, Chemban Vinod Jose]
Generated description
Chemban Vinod Jose is an Indian actor, screenwriter, and producer primarily known for his character roles in Malayalam cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chemban Vinod Jose Target entity description: Chemban Vinod Jose is an Indian actor, screenwriter, and producer primarily known for his character roles in Malayalam cinema.
-
A.
Ashwanth Ashokkumar
Ashwanth Ashokkumar is an Indian child actor best known for his acclaimed performance in the Tamil film "Super Deluxe."
-
B.
Abey Kuruvilla
Abey Kuruvilla is a former Indian fast bowler who played Test and One Day International cricket for India in the mid-1990s.
-
C.
Arvind Neelakantan
Arvind Neelakantan is a researcher in artificial intelligence and machine learning known for his work on large language models and neural network architectures.
-
D.
Nelson Dilipkumar
Nelson Dilipkumar is an Indian film director and screenwriter known for his darkly comic Tamil-language films and collaborations with major South Indian stars.
-
E.
Vijay Vasudevan
Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf280edb288190a7db5486cc426253 |
completed | April 3, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_69cf2a6a91d48190aa7d45b0a010f261 |
completed | April 3, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2c0aace08190aca839c39e718c52 |
completed | April 3, 2026, 2:55 a.m. |
Created at: March 30, 2026, 6:20 p.m.