Triple
T5042492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9 to 5 |
E113576
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
IPC Films
IPC Films was an American film production company best known for producing the hit 1980 workplace comedy "9 to 5."
|
E488971
|
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: IPC Films | Statement: [9 to 5, productionCompany, IPC Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IPC Films Context triple: [9 to 5, productionCompany, IPC Films]
-
A.
IPC Films
IPC Films was an American film production company best known for producing the acclaimed 1981 drama "On Golden Pond."
-
B.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
-
C.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
-
D.
RSA Films
RSA Films is a renowned commercial and film production company known for creating high-profile advertising campaigns and visual storytelling for global brands.
-
E.
Dimension Films
Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
- 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: IPC Films Triple: [9 to 5, productionCompany, IPC Films]
Generated description
IPC Films was an American film production company best known for producing the hit 1980 workplace comedy "9 to 5."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IPC Films Target entity description: IPC Films was an American film production company best known for producing the hit 1980 workplace comedy "9 to 5."
-
A.
IPC Films
IPC Films was an American film production company best known for producing the acclaimed 1981 drama "On Golden Pond."
-
B.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
-
C.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
-
D.
RSA Films
RSA Films is a renowned commercial and film production company known for creating high-profile advertising campaigns and visual storytelling for global brands.
-
E.
Dimension Films
Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c87455081908b759eed55730503 |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9fc4f8bc8190a21c828ea5cb9529 |
completed | March 21, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea026f1008190861990c7a330222e |
completed | March 21, 2026, 1:41 p.m. |
Created at: March 20, 2026, 1:37 p.m.