Triple
T22859013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyjayanthimala |
E566858
|
entity |
| Predicate | debutFilm |
P12418
|
FINISHED |
| Object |
Vaazhkai
Vaazhkai is a 1949 Tamil-language drama film best known for introducing Vyjayanthimala to Indian cinema.
|
E1558179
|
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: Vaazhkai | Statement: [Vyjayanthimala, debutFilm, Vaazhkai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaazhkai Context triple: [Vyjayanthimala, debutFilm, Vaazhkai]
-
A.
Navakhai
Navakhai is a traditional harvest festival celebrated by agrarian communities, particularly in parts of central and eastern India, to mark the consumption of the season’s newly harvested grain.
-
B.
Neszmély
Neszmély is a village in northwestern Hungary on the Danube River, historically noted as the place where Holy Roman Emperor Albert II died.
-
C.
Oh Sees
Oh Sees is an American experimental rock band led by John Dwyer, known for its prolific output and energetic, psychedelic garage rock sound.
-
D.
Viy
Viy is a horror novella by Nikolai Gogol, centered on a terrifying demonic figure, that appears as one of the tales in his collection "Mirgorod."
-
E.
Guzaarish
Guzaarish is a 2010 Indian drama film directed by Sanjay Leela Bhansali that explores euthanasia through the story of a quadriplegic magician turned radio jockey.
- 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: Vaazhkai Triple: [Vyjayanthimala, debutFilm, Vaazhkai]
Generated description
Vaazhkai is a 1949 Tamil-language drama film best known for introducing Vyjayanthimala to Indian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vaazhkai Target entity description: Vaazhkai is a 1949 Tamil-language drama film best known for introducing Vyjayanthimala to Indian cinema.
-
A.
Navakhai
Navakhai is a traditional harvest festival celebrated by agrarian communities, particularly in parts of central and eastern India, to mark the consumption of the season’s newly harvested grain.
-
B.
Neszmély
Neszmély is a village in northwestern Hungary on the Danube River, historically noted as the place where Holy Roman Emperor Albert II died.
-
C.
Oh Sees
Oh Sees is an American experimental rock band led by John Dwyer, known for its prolific output and energetic, psychedelic garage rock sound.
-
D.
Viy
Viy is a horror novella by Nikolai Gogol, centered on a terrifying demonic figure, that appears as one of the tales in his collection "Mirgorod."
-
E.
Guzaarish
Guzaarish is a 2010 Indian drama film directed by Sanjay Leela Bhansali that explores euthanasia through the story of a quadriplegic magician turned radio jockey.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebf1838819092b2b99205a2192f |
completed | April 29, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae8ba1dc8190a2af113d88c210d0 |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0baf39c42c8190a6401ab150b80039 |
completed | May 19, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bafce9cf48190a826f713e095e3be |
completed | May 19, 2026, 12:33 a.m. |
Created at: April 17, 2026, 3:37 p.m.