Triple
T8129332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kingdom |
E189815
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
MDB Films
MDB Films is a film production company known for producing the movie "The Kingdom."
|
E714739
|
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: MDB Films | Statement: [The Kingdom, productionCompany, MDB Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDB Films Context triple: [The Kingdom, productionCompany, MDB Films]
-
A.
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.
-
B.
M6 Films
M6 Films is a French film production company known for backing popular international action and thriller movies.
-
C.
Beyond Films
Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
-
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.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
- 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: MDB Films Triple: [The Kingdom, productionCompany, MDB Films]
Generated description
MDB Films is a film production company known for producing the movie "The Kingdom."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MDB Films Target entity description: MDB Films is a film production company known for producing the movie "The Kingdom."
-
A.
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.
-
B.
M6 Films
M6 Films is a French film production company known for backing popular international action and thriller movies.
-
C.
Beyond Films
Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
-
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.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b6b4dc8190be237e6dd21c863b |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc947303f881908e16af664fb74dc8 |
completed | April 1, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69cca83322748190bdd532552d972089 |
completed | April 1, 2026, 5:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cca913304c8190a0ce9c468d98269f |
completed | April 1, 2026, 5:11 a.m. |
Created at: March 30, 2026, 5:34 p.m.