Triple
T14566951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaos Walking |
E341807
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Quadrant Pictures
Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
|
E1110308
|
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: Quadrant Pictures | Statement: [Chaos Walking, productionCompany, Quadrant Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quadrant Pictures Context triple: [Chaos Walking, productionCompany, Quadrant Pictures]
-
A.
Gramercy Pictures
Gramercy Pictures was an American film production and distribution company known for releasing acclaimed independent and specialty films in the 1990s.
-
B.
Myriad Pictures
Myriad Pictures is an independent film production and distribution company known for handling a range of arthouse and specialty films.
-
C.
Troika Pictures
Troika Pictures is a film production company known for producing feature films such as the thriller "The Call" (2013).
-
D.
Quadrant Films
Quadrant Films is a film production company best known for producing the 1973 Canadian horror-mystery film "The Pyx."
-
E.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
- 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: Quadrant Pictures Triple: [Chaos Walking, productionCompany, Quadrant Pictures]
Generated description
Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quadrant Pictures Target entity description: Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
-
A.
Gramercy Pictures
Gramercy Pictures was an American film production and distribution company known for releasing acclaimed independent and specialty films in the 1990s.
-
B.
Myriad Pictures
Myriad Pictures is an independent film production and distribution company known for handling a range of arthouse and specialty films.
-
C.
Troika Pictures
Troika Pictures is a film production company known for producing feature films such as the thriller "The Call" (2013).
-
D.
Quadrant Films
Quadrant Films is a film production company best known for producing the 1973 Canadian horror-mystery film "The Pyx."
-
E.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91437e08190a41683f1777a8507 |
completed | May 8, 2026, 9:12 a.m. |
| NEDg | Description generation | batch_69fdb32facb081908ed84483aac38f78 |
completed | May 8, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb3b24320819098dd7fab0c3a0507 |
completed | May 8, 2026, 9:58 a.m. |
Created at: April 10, 2026, 1:23 a.m.