Triple
T16964362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulu cinema |
E411505
|
entity |
| Predicate | notableFilm |
P22
|
FINISHED |
| Object |
Girgit
Girgit is a popular Tulu-language comedy thriller film known for its humorous take on contemporary coastal Karnataka life.
|
E1242542
|
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: Girgit | Statement: [Tulu cinema, notableFilm, Girgit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girgit Context triple: [Tulu cinema, notableFilm, Girgit]
-
A.
Ghizer Valley
Ghizer Valley is a scenic mountainous valley in Pakistan’s Gilgit-Baltistan region, known for its rivers, lakes, and trekking routes along the ancient Silk Road corridor.
-
B.
Gilgiti Shina
Gilgiti Shina is a regional variety of the Shina language spoken primarily in and around Gilgit in northern Pakistan.
-
C.
Gilgit
Gilgit is a major town in northern Pakistan that serves as a key regional hub for trade, tourism, and access to the Karakoram mountain range.
-
D.
Thoseghar
Thoseghar is a small village in Maharashtra, India, known primarily as the access point to the scenic Thoseghar Waterfalls and surrounding hilly countryside.
-
E.
Kalasha
Kalasha is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of northern Pakistan.
- 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: Girgit Triple: [Tulu cinema, notableFilm, Girgit]
Generated description
Girgit is a popular Tulu-language comedy thriller film known for its humorous take on contemporary coastal Karnataka life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Girgit Target entity description: Girgit is a popular Tulu-language comedy thriller film known for its humorous take on contemporary coastal Karnataka life.
-
A.
Ghizer Valley
Ghizer Valley is a scenic mountainous valley in Pakistan’s Gilgit-Baltistan region, known for its rivers, lakes, and trekking routes along the ancient Silk Road corridor.
-
B.
Gilgiti Shina
Gilgiti Shina is a regional variety of the Shina language spoken primarily in and around Gilgit in northern Pakistan.
-
C.
Gilgit
Gilgit is a major town in northern Pakistan that serves as a key regional hub for trade, tourism, and access to the Karakoram mountain range.
-
D.
Thoseghar
Thoseghar is a small village in Maharashtra, India, known primarily as the access point to the scenic Thoseghar Waterfalls and surrounding hilly countryside.
-
E.
Kalasha
Kalasha is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of northern Pakistan.
- 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.