Triple
T29335692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kavithalayaa Productions |
E743899
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sollathaan Ninaikkiren
Sollathaan Ninaikkiren is a 1973 Tamil-language drama film directed by K. Balachander, known for its nuanced portrayal of complex human relationships and strong character-driven storytelling.
|
E1860543
|
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: Sollathaan Ninaikkiren | Statement: [Kavithalayaa Productions, notableWork, Sollathaan Ninaikkiren]
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: Sollathaan Ninaikkiren Triple: [Kavithalayaa Productions, notableWork, Sollathaan Ninaikkiren]
Generated description
Sollathaan Ninaikkiren is a 1973 Tamil-language drama film directed by K. Balachander, known for its nuanced portrayal of complex human relationships and strong character-driven storytelling.
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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66921ee2881908967afa090d0d19d |
completed | May 2, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25a87d1fa08190b62802dff4a2aeb5 |
completed | June 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_6a25aca3001081909d4218b36207afef |
completed | June 7, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a25ad026d9c8190a496c55ca49bf6cf |
completed | June 7, 2026, 5:40 p.m. |
Created at: April 28, 2026, 1:30 p.m.