Triple
T16964358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulu cinema |
E411505
|
entity |
| Predicate | notableFilm |
P22
|
FINISHED |
| Object |
Rang
Rang is a popular Tulu-language film recognized for its significant impact and success within Tulu cinema.
|
E1242538
|
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: Rang | Statement: [Tulu cinema, notableFilm, Rang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rang Context triple: [Tulu cinema, notableFilm, Rang]
-
A.
Ranst
Ranst is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the city of Antwerp.
-
B.
Rangeela
Rangeela is a 1995 Hindi romantic musical film directed by Ram Gopal Varma, celebrated for its vibrant storytelling and A. R. Rahman’s influential soundtrack that helped redefine Bollywood film music.
-
C.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
D.
Ringer
Ringer is a mystery-thriller television series starring Gabriel Mann alongside Sarah Michelle Gellar, centered on a woman who assumes her wealthy twin sister’s identity after witnessing a crime.
-
E.
The Ranger
The Ranger is an independent horror-thriller film known for its punk rock aesthetic and slasher elements, following a group of rebellious teens who encounter a deranged park ranger in the wilderness.
- 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: Rang Triple: [Tulu cinema, notableFilm, Rang]
Generated description
Rang is a popular Tulu-language film recognized for its significant impact and success within Tulu cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rang Target entity description: Rang is a popular Tulu-language film recognized for its significant impact and success within Tulu cinema.
-
A.
Ranst
Ranst is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the city of Antwerp.
-
B.
Rangeela
Rangeela is a 1995 Hindi romantic musical film directed by Ram Gopal Varma, celebrated for its vibrant storytelling and A. R. Rahman’s influential soundtrack that helped redefine Bollywood film music.
-
C.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
D.
Ringer
Ringer is a mystery-thriller television series starring Gabriel Mann alongside Sarah Michelle Gellar, centered on a woman who assumes her wealthy twin sister’s identity after witnessing a crime.
-
E.
The Ranger
The Ranger is an independent horror-thriller film known for its punk rock aesthetic and slasher elements, following a group of rebellious teens who encounter a deranged park ranger in the wilderness.
- 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.