Triple
T9565583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mank |
E230780
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object |
Erik Messerschmidt
Erik Messerschmidt is an American cinematographer known for his acclaimed, Oscar-winning work on films such as "Mank" and his frequent collaborations with director David Fincher.
|
E813708
|
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: Erik Messerschmidt | Statement: [Mank, cinematographer, Erik Messerschmidt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik Messerschmidt Context triple: [Mank, cinematographer, Erik Messerschmidt]
-
A.
Erik Heinrichs
Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
-
B.
Jens Schlosser
Jens Schlosser is a cinematographer known for his work on the film "The Salvation."
-
C.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
-
D.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
E.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
- 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: Erik Messerschmidt Triple: [Mank, cinematographer, Erik Messerschmidt]
Generated description
Erik Messerschmidt is an American cinematographer known for his acclaimed, Oscar-winning work on films such as "Mank" and his frequent collaborations with director David Fincher.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erik Messerschmidt Target entity description: Erik Messerschmidt is an American cinematographer known for his acclaimed, Oscar-winning work on films such as "Mank" and his frequent collaborations with director David Fincher.
-
A.
Erik Heinrichs
Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
-
B.
Jens Schlosser
Jens Schlosser is a cinematographer known for his work on the film "The Salvation."
-
C.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
-
D.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
E.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996c0a1081908a8356c454e60f74 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189ebe80c819099602cc6dedd3769 |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18aa1e9a48190bf26da5482fd0770 |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b6a2fb0819092ee274310721b50 |
completed | April 4, 2026, 10:06 p.m. |
Created at: March 30, 2026, 8:04 p.m.