Triple
T15033616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony |
E378419
|
entity |
| Predicate | workProductionCompany |
P14415
|
FINISHED |
| Object |
Doppelganger Films
Doppelganger Films is a film production company known for collaborating with filmmaker Tony on various screen projects.
|
E1133459
|
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: Doppelganger Films | Statement: [Tony, workProductionCompany, Doppelganger Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doppelganger Films Context triple: [Tony, workProductionCompany, Doppelganger Films]
-
A.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
-
B.
Diaphana Films
Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur cinema.
-
C.
Pandemonium Films
Pandemonium Films is a film production company known for producing the 2005 supernatural horror movie "Dark Water."
-
D.
Figment Films
Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
-
E.
Figment Films
Figment Films is a film production company known for producing the 1997 romantic black comedy "A Life Less Ordinary," directed by Danny Boyle.
- 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: Doppelganger Films Triple: [Tony, workProductionCompany, Doppelganger Films]
Generated description
Doppelganger Films is a film production company known for collaborating with filmmaker Tony on various screen projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doppelganger Films Target entity description: Doppelganger Films is a film production company known for collaborating with filmmaker Tony on various screen projects.
-
A.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
-
B.
Diaphana Films
Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur cinema.
-
C.
Pandemonium Films
Pandemonium Films is a film production company known for producing the 2005 supernatural horror movie "Dark Water."
-
D.
Figment Films
Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
-
E.
Figment Films
Figment Films is a film production company known for producing the 1997 romantic black comedy "A Life Less Ordinary," directed by Danny Boyle.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dddd0208190b2dac7a078de2931 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f58e39081909be07cda05484fb3 |
completed | May 9, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9ff62eb081908e170e099c99283b |
completed | May 9, 2026, 2:46 a.m. |
Created at: April 10, 2026, 2:59 a.m.