Triple
T18709633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Price |
E457464
|
entity |
| Predicate | workProductionCompany |
P14415
|
FINISHED |
| Object |
MPM Film
MPM Film is a film production company known for developing and producing independent and international cinema projects.
|
E1338546
|
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: MPM Film | Statement: [Jackie Price, workProductionCompany, MPM Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MPM Film Context triple: [Jackie Price, workProductionCompany, MPM Film]
-
A.
MPC Film
MPC Film is a major visual effects and animation studio known for creating high-end CGI and VFX for blockbuster films and television.
-
B.
M6 Films
M6 Films is a French film production company known for backing popular international action and thriller movies.
-
C.
MDB Films
MDB Films is a film production company known for producing the movie "The Kingdom."
-
D.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
-
E.
Apache Films
Apache Films is a Spanish film production company known for backing genre and auteur-driven movies such as the psychological thriller "Marrowbone."
- 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: MPM Film Triple: [Jackie Price, workProductionCompany, MPM Film]
Generated description
MPM Film is a film production company known for developing and producing independent and international cinema projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MPM Film Target entity description: MPM Film is a film production company known for developing and producing independent and international cinema projects.
-
A.
MPC Film
MPC Film is a major visual effects and animation studio known for creating high-end CGI and VFX for blockbuster films and television.
-
B.
M6 Films
M6 Films is a French film production company known for backing popular international action and thriller movies.
-
C.
MDB Films
MDB Films is a film production company known for producing the movie "The Kingdom."
-
D.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
-
E.
Apache Films
Apache Films is a Spanish film production company known for backing genre and auteur-driven movies such as the psychological thriller "Marrowbone."
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671a3c8c81909466bf5d81477a37 |
completed | April 19, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b3c8e5081908735b95498b49547 |
completed | May 14, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a052c70dca881908fd4f3a437340bb5 |
completed | May 14, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052cc1c634819095ebfebf54d784d0 |
completed | May 14, 2026, 2 a.m. |
Created at: April 10, 2026, 11:50 a.m.