Triple
T16964359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulu cinema |
E411505
|
entity |
| Predicate | notableFilm |
P22
|
FINISHED |
| Object |
Ekkasaka
Ekkasaka is a notable Tulu-language film recognized within the regional Tulu cinema industry.
|
E1242539
|
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: Ekkasaka | Statement: [Tulu cinema, notableFilm, Ekkasaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ekkasaka Context triple: [Tulu cinema, notableFilm, Ekkasaka]
-
A.
Eketāhuna
Eketāhuna is a small rural town in New Zealand’s North Island, known for its farming community and location in the Tararua District.
-
B.
Ekkathat
Ekkathat was the last king of the Ayutthaya Kingdom of Siam, whose reign ended with the Burmese sack of Ayutthaya in 1767.
-
C.
Ekhoni
Ekhoni is a Bengali film directed by Tapan Sinha, known for its realistic portrayal of urban youth and social issues in contemporary Kolkata.
-
D.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
E.
Eke
Eke is a town in the Okpokwu Local Government Area of Benue State, Nigeria.
- 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: Ekkasaka Triple: [Tulu cinema, notableFilm, Ekkasaka]
Generated description
Ekkasaka is a notable Tulu-language film recognized within the regional Tulu cinema industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ekkasaka Target entity description: Ekkasaka is a notable Tulu-language film recognized within the regional Tulu cinema industry.
-
A.
Eketāhuna
Eketāhuna is a small rural town in New Zealand’s North Island, known for its farming community and location in the Tararua District.
-
B.
Ekkathat
Ekkathat was the last king of the Ayutthaya Kingdom of Siam, whose reign ended with the Burmese sack of Ayutthaya in 1767.
-
C.
Ekhoni
Ekhoni is a Bengali film directed by Tapan Sinha, known for its realistic portrayal of urban youth and social issues in contemporary Kolkata.
-
D.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
E.
Eke
Eke is a town in the Okpokwu Local Government Area of Benue State, Nigeria.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a2cda88190bd574a869f0e43e9 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46cb56481908c2bc6648a12fbcf |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d4f1bfa48190903bedc43ed6db75 |
completed | May 10, 2026, 6:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d59b96108190a0e55f01529a0b64 |
completed | May 10, 2026, 6:59 p.m. |
Created at: April 10, 2026, 5:31 a.m.