Triple
T8558611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Pictures |
E202635
|
entity |
| Predicate | hasDistributedFilm |
P39384
|
FINISHED |
| Object |
Aadhavan
Aadhavan is a 2009 Tamil-language action-comedy film starring Suriya and directed by K. S. Ravikumar.
|
E743887
|
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: Aadhavan | Statement: [Sun Pictures, hasDistributedFilm, Aadhavan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aadhavan Context triple: [Sun Pictures, hasDistributedFilm, Aadhavan]
-
A.
Anniyan
Anniyan is a 2005 Indian Tamil-language psychological action thriller film directed by S. Shankar, known for its multiple personality protagonist and strong social message.
-
B.
Soggadu
Soggadu is a popular 1975 Telugu romantic drama film produced by D. Ramanaidu, regarded as one of the classics of Telugu cinema.
-
C.
Uppuveli
Uppuveli is a popular coastal resort area near Trincomalee in eastern Sri Lanka, known for its sandy beaches, clear waters, and relaxed seaside atmosphere.
-
D.
Arupadai Veedu
Arupadai Veedu refers to the six sacred abodes of the Hindu god Murugan, revered pilgrimage centers in Tamil Nadu that are central to Murugan worship and mythology.
-
E.
Vetrimaaran
Vetrimaaran is an acclaimed Indian filmmaker and screenwriter known for his gritty, realistic Tamil-language films and multiple National Film Awards.
- 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: Aadhavan Triple: [Sun Pictures, hasDistributedFilm, Aadhavan]
Generated description
Aadhavan is a 2009 Tamil-language action-comedy film starring Suriya and directed by K. S. Ravikumar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aadhavan Target entity description: Aadhavan is a 2009 Tamil-language action-comedy film starring Suriya and directed by K. S. Ravikumar.
-
A.
Anniyan
Anniyan is a 2005 Indian Tamil-language psychological action thriller film directed by S. Shankar, known for its multiple personality protagonist and strong social message.
-
B.
Soggadu
Soggadu is a popular 1975 Telugu romantic drama film produced by D. Ramanaidu, regarded as one of the classics of Telugu cinema.
-
C.
Uppuveli
Uppuveli is a popular coastal resort area near Trincomalee in eastern Sri Lanka, known for its sandy beaches, clear waters, and relaxed seaside atmosphere.
-
D.
Arupadai Veedu
Arupadai Veedu refers to the six sacred abodes of the Hindu god Murugan, revered pilgrimage centers in Tamil Nadu that are central to Murugan worship and mythology.
-
E.
Vetrimaaran
Vetrimaaran is an acclaimed Indian filmmaker and screenwriter known for his gritty, realistic Tamil-language films and multiple National Film Awards.
- 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_69cc4578d9c8819096b3853d01c3ec11 |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce894d82588190b558d5b2dc65eafe |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8a9ce1a08190a579f7f7a0319d01 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8bdf1f148190ac832424661bd8e5 |
completed | April 2, 2026, 3:31 p.m. |
Created at: March 30, 2026, 6:20 p.m.