Triple
T5187543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downfall |
E117069
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Stephan Zacharias
Stephan Zacharias is a German film composer known for his dramatic and historically themed scores, including his work on the World War II film "Downfall."
|
E511187
|
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: Stephan Zacharias | Statement: [Downfall, composer, Stephan Zacharias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephan Zacharias Context triple: [Downfall, composer, Stephan Zacharias]
-
A.
Christopher Scholz
Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
-
B.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
-
C.
Christian Meyer
Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
-
D.
Jonas Schneider
Jonas Schneider is a researcher in reinforcement learning best known for co-authoring the Hindsight Experience Replay technique for more efficient learning from sparse rewards.
-
E.
Sebastian Knapp
Sebastian Knapp is an actor best known for his role in the 2013 television miniseries adaptation of the Bible.
- 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: Stephan Zacharias Triple: [Downfall, composer, Stephan Zacharias]
Generated description
Stephan Zacharias is a German film composer known for his dramatic and historically themed scores, including his work on the World War II film "Downfall."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephan Zacharias Target entity description: Stephan Zacharias is a German film composer known for his dramatic and historically themed scores, including his work on the World War II film "Downfall."
-
A.
Christopher Scholz
Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
-
B.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
-
C.
Christian Meyer
Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
-
D.
Jonas Schneider
Jonas Schneider is a researcher in reinforcement learning best known for co-authoring the Hindsight Experience Replay technique for more efficient learning from sparse rewards.
-
E.
Sebastian Knapp
Sebastian Knapp is an actor best known for his role in the 2013 television miniseries adaptation of the Bible.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c3e9e08190848be4208b72f310 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf186fe9308190ba81af4931e97b42 |
completed | March 21, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69bf18f90d9081908a47e69e82ed2940 |
completed | March 21, 2026, 10:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf195e7be88190a7655d18471b1662 |
completed | March 21, 2026, 10:19 p.m. |
Created at: March 20, 2026, 1:46 p.m.