Triple
T21993532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Book |
E543146
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Clockwork Pictures
Clockwork Pictures is a film and television production company known for producing the movie "Black Book."
|
E1512535
|
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: Clockwork Pictures | Statement: [Black Book, productionCompany, Clockwork Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clockwork Pictures Context triple: [Black Book, productionCompany, Clockwork Pictures]
-
A.
Rectangle Productions
Rectangle Productions is a French film production company known for backing auteur-driven and often provocative cinema, including Gaspar Noé’s 2018 film "Climax."
-
B.
Pastel Productions
Pastel Productions is a film and television production company known for producing the acclaimed coming-of-age drama "Moonlight."
-
C.
Indelible Productions
Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
-
D.
Ostar Productions
Ostar Productions is a television production company best known for producing the crime drama series "Rizzoli & Isles."
-
E.
Forge Productions
Forge Productions is a film production company best known for its involvement in the big-budget 1995 pirate adventure movie "Cutthroat Island."
- 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: Clockwork Pictures Triple: [Black Book, productionCompany, Clockwork Pictures]
Generated description
Clockwork Pictures is a film and television production company known for producing the movie "Black Book."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clockwork Pictures Target entity description: Clockwork Pictures is a film and television production company known for producing the movie "Black Book."
-
A.
Rectangle Productions
Rectangle Productions is a French film production company known for backing auteur-driven and often provocative cinema, including Gaspar Noé’s 2018 film "Climax."
-
B.
Pastel Productions
Pastel Productions is a film and television production company known for producing the acclaimed coming-of-age drama "Moonlight."
-
C.
Indelible Productions
Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
-
D.
Ostar Productions
Ostar Productions is a television production company best known for producing the crime drama series "Rizzoli & Isles."
-
E.
Forge Productions
Forge Productions is a film production company best known for its involvement in the big-budget 1995 pirate adventure movie "Cutthroat Island."
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1270f77fc8190aadcc02760d65ac0 |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d85f104819088dba8d0bf347fbe |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e556f3c8190927d1c0cba23463c |
completed | May 18, 2026, 1:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6f3de2e88190824c9cc266c7ee8c |
completed | May 18, 2026, 1:45 a.m. |
Created at: April 16, 2026, 8:17 p.m.