Triple
T7106040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navalny |
E165585
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Daniel Roher
Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
|
E661102
|
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: Daniel Roher | Statement: [Navalny, director, Daniel Roher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Roher Context triple: [Navalny, director, Daniel Roher]
-
A.
Michael Holzer
Michael Holzer is an architect best known as one of the founders of the avant-garde Austrian architecture firm Coop Himmelb(l)au.
-
B.
Michael Ohoven
Michael Ohoven is a German film producer and founder of Infinity Media, known for producing acclaimed independent films such as "Capote."
-
C.
John Luessenhop
John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
-
D.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
E.
Michael Wandmacher
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
- 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: Daniel Roher Triple: [Navalny, director, Daniel Roher]
Generated description
Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Roher Target entity description: Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
-
A.
Michael Holzer
Michael Holzer is an architect best known as one of the founders of the avant-garde Austrian architecture firm Coop Himmelb(l)au.
-
B.
Michael Ohoven
Michael Ohoven is a German film producer and founder of Infinity Media, known for producing acclaimed independent films such as "Capote."
-
C.
John Luessenhop
John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
-
D.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
E.
Michael Wandmacher
Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5b892008190827fa1e5eab2e558 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810ae557881908340cee60c9d7932 |
completed | March 28, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c8119611148190ae72e52242798dfe |
completed | March 28, 2026, 5:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8121126e08190a95ab570569158cf |
completed | March 28, 2026, 5:38 p.m. |
Created at: March 27, 2026, 2:42 p.m.