Triple
T8431763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Island |
E199129
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
AL Films
AL Films is a film production company known for producing the movie "Small Island."
|
E732762
|
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: AL Films | Statement: [Small Island, productionCompany, AL Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AL Films Context triple: [Small Island, productionCompany, AL Films]
-
A.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
-
B.
Bay Films
Bay Films is a film production company founded by director Michael Bay, known for producing high-octane action movies and large-scale Hollywood blockbusters.
-
C.
Lux Film
Lux Film was an Italian film production company active mainly in the mid-20th century, known for producing a range of notable Italian and European films.
-
D.
Nala Films
Nala Films is an independent film production company known for financing and producing critically acclaimed feature films.
-
E.
Element Films
Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
- 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: AL Films Triple: [Small Island, productionCompany, AL Films]
Generated description
AL Films is a film production company known for producing the movie "Small Island."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AL Films Target entity description: AL Films is a film production company known for producing the movie "Small Island."
-
A.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
-
B.
Bay Films
Bay Films is a film production company founded by director Michael Bay, known for producing high-octane action movies and large-scale Hollywood blockbusters.
-
C.
Lux Film
Lux Film was an Italian film production company active mainly in the mid-20th century, known for producing a range of notable Italian and European films.
-
D.
Nala Films
Nala Films is an independent film production company known for financing and producing critically acclaimed feature films.
-
E.
Element Films
Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a4876c81908d5a708bb1f35683 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce038902308190bff57c9ce14e72ed |
completed | April 2, 2026, 5:50 a.m. |
| NEDg | Description generation | batch_69ce07851c4081909a9468a386035bb2 |
completed | April 2, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce07ec00248190bb10fee54265c7f9 |
completed | April 2, 2026, 6:08 a.m. |
Created at: March 30, 2026, 6:07 p.m.