Triple
T22012310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black (2005 film) |
E543606
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
SLB Films
SLB Films is an Indian film production company founded by acclaimed filmmaker Sanjay Leela Bhansali, known for producing visually opulent and emotionally intense Hindi films.
|
E1512992
|
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: SLB Films | Statement: [Black (2005 film), productionCompany, SLB Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLB Films Context triple: [Black (2005 film), productionCompany, SLB Films]
-
A.
S. L. Productions
S. L. Productions is a film production company best known for producing the 1971 coming-of-age drama "Summer of '42."
-
B.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
C.
See-Saw Films
See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
-
D.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
-
E.
Skreba Films
Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
- 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: SLB Films Triple: [Black (2005 film), productionCompany, SLB Films]
Generated description
SLB Films is an Indian film production company founded by acclaimed filmmaker Sanjay Leela Bhansali, known for producing visually opulent and emotionally intense Hindi films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SLB Films Target entity description: SLB Films is an Indian film production company founded by acclaimed filmmaker Sanjay Leela Bhansali, known for producing visually opulent and emotionally intense Hindi films.
-
A.
S. L. Productions
S. L. Productions is a film production company best known for producing the 1971 coming-of-age drama "Summer of '42."
-
B.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
C.
See-Saw Films
See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
-
D.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
-
E.
Skreba Films
Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7378f3088190a38ae4ac5e44f41d |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a748d35288190b092f1d83012e6c1 |
completed | May 18, 2026, 2:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a74ee17008190b208c395b35a688f |
completed | May 18, 2026, 2:09 a.m. |
Created at: April 16, 2026, 8:22 p.m.