Triple
T13694544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hidden Figures |
E328350
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Levantine Films
Levantine Films is an independent film production company known for backing acclaimed, socially conscious movies such as "Hidden Figures."
|
E1054539
|
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: Levantine Films | Statement: [Hidden Figures, productionCompany, Levantine Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levantine Films Context triple: [Hidden Figures, productionCompany, Levantine Films]
-
A.
Swaka Films
Swaka Films is a film production company known for producing the 2013 adaptation of "Romeo & Juliet."
-
B.
Canana Films
Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
-
C.
Misher Films
Misher Films is an American film production company known for producing a range of mainstream Hollywood movies, including the biographical sports comedy-drama "Fighting with My Family."
-
D.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
E.
Argos Films
Argos Films is a French film production company known for producing influential art-house and auteur cinema.
- 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: Levantine Films Triple: [Hidden Figures, productionCompany, Levantine Films]
Generated description
Levantine Films is an independent film production company known for backing acclaimed, socially conscious movies such as "Hidden Figures."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Levantine Films Target entity description: Levantine Films is an independent film production company known for backing acclaimed, socially conscious movies such as "Hidden Figures."
-
A.
Swaka Films
Swaka Films is a film production company known for producing the 2013 adaptation of "Romeo & Juliet."
-
B.
Canana Films
Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
-
C.
Misher Films
Misher Films is an American film production company known for producing a range of mainstream Hollywood movies, including the biographical sports comedy-drama "Fighting with My Family."
-
D.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
E.
Argos Films
Argos Films is a French film production company known for producing influential art-house and auteur cinema.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794514afc8190b334b1fc74a6cdd5 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f795e361c48190b37060312e7df181 |
completed | May 3, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f796e5c60c8190a19389bc4cdbd658 |
completed | May 3, 2026, 6:41 p.m. |
Created at: April 9, 2026, 9:54 p.m.