Triple
T12120518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord of War |
E288680
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Andreas Grosch
Andreas Grosch is a film producer best known for his work on the crime drama "Lord of War."
|
E1048503
|
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: Andreas Grosch | Statement: [Lord of War, producer, Andreas Grosch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andreas Grosch Context triple: [Lord of War, producer, Andreas Grosch]
-
A.
Jochen Engert
Jochen Engert is a German entrepreneur best known as a co-founder of the long-distance bus company FlixBus.
-
B.
Falk Hentschel
Falk Hentschel is a German actor and dancer known for roles in film and television, including appearances in dance-focused movies and superhero TV series.
-
C.
Andreas Thiel
Andreas Thiel is a notable individual whose identity is associated with the surname Thiel, recognized for achievements that distinguish him among bearers of the name.
-
D.
Jürgen Vogel
Jürgen Vogel is a German actor and producer known for his intense character roles in films such as "The Wave" and "The Free Will."
-
E.
Klaus Busse
Klaus Busse is a German automotive designer known for leading design at Maserati and other Stellantis brands, shaping the look of several modern luxury and performance vehicles.
- 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: Andreas Grosch Triple: [Lord of War, producer, Andreas Grosch]
Generated description
Andreas Grosch is a film producer best known for his work on the crime drama "Lord of War."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andreas Grosch Target entity description: Andreas Grosch is a film producer best known for his work on the crime drama "Lord of War."
-
A.
Jochen Engert
Jochen Engert is a German entrepreneur best known as a co-founder of the long-distance bus company FlixBus.
-
B.
Falk Hentschel
Falk Hentschel is a German actor and dancer known for roles in film and television, including appearances in dance-focused movies and superhero TV series.
-
C.
Andreas Thiel
Andreas Thiel is a notable individual whose identity is associated with the surname Thiel, recognized for achievements that distinguish him among bearers of the name.
-
D.
Jürgen Vogel
Jürgen Vogel is a German actor and producer known for his intense character roles in films such as "The Wave" and "The Free Will."
-
E.
Klaus Busse
Klaus Busse is a German automotive designer known for leading design at Maserati and other Stellantis brands, shaping the look of several modern luxury and performance vehicles.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91577a03c81909add7a5d7324a648 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9112948190a0dd747a67f8206a |
completed | May 3, 2026, 3:36 p.m. |
| NEDg | Description generation | batch_69f7763fc23c819098d46ab0906b8764 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f778f01700819099c3e9cbc84f29e4 |
completed | May 3, 2026, 4:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.