Triple
T2650971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympia |
E53895
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Paul Falkenberg
Paul Falkenberg was a German film editor best known for his influential work on Leni Riefenstahl’s documentary "Olympia."
|
E444074
|
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: Paul Falkenberg | Statement: [Olympia, editedBy, Paul Falkenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Falkenberg Context triple: [Olympia, editedBy, Paul Falkenberg]
-
A.
Thomas Römer
Thomas Römer is a prominent French biblical scholar and historian of ancient Israel, known for his influential work on the composition and historical context of the Hebrew Bible.
-
B.
William Wendt
William Wendt was a prominent American landscape painter celebrated as a leading figure of the California Impressionist movement.
-
C.
Robert Ochsenfeld
Robert Ochsenfeld was a German physicist best known for co-discovering the Meissner effect, a fundamental phenomenon in superconductivity.
-
D.
Hans Dreier
Hans Dreier was a prominent German-born art director in Hollywood’s Golden Age, best known for his influential visual design work on numerous Paramount Pictures films.
-
E.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
- 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: Paul Falkenberg Triple: [Olympia, editedBy, Paul Falkenberg]
Generated description
Paul Falkenberg was a German film editor best known for his influential work on Leni Riefenstahl’s documentary "Olympia."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Falkenberg Target entity description: Paul Falkenberg was a German film editor best known for his influential work on Leni Riefenstahl’s documentary "Olympia."
-
A.
Thomas Römer
Thomas Römer is a prominent French biblical scholar and historian of ancient Israel, known for his influential work on the composition and historical context of the Hebrew Bible.
-
B.
William Wendt
William Wendt was a prominent American landscape painter celebrated as a leading figure of the California Impressionist movement.
-
C.
Robert Ochsenfeld
Robert Ochsenfeld was a German physicist best known for co-discovering the Meissner effect, a fundamental phenomenon in superconductivity.
-
D.
Hans Dreier
Hans Dreier was a prominent German-born art director in Hollywood’s Golden Age, best known for his influential visual design work on numerous Paramount Pictures films.
-
E.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd92f5f508190b4ca396c3f399e93 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b650629ef88190a3e360fb9c85dcc7 |
completed | March 15, 2026, 6:23 a.m. |
| NEDg | Description generation | batch_69b6519e30fc819098de2671c3aa89b9 |
completed | March 15, 2026, 6:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6521feae08190a029acdece360863 |
completed | March 15, 2026, 6:30 a.m. |
Created at: March 6, 2026, 9:53 p.m.