Triple
T8784377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Flow |
E209007
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Heino Deckert
Heino Deckert is a German film producer and documentary filmmaker known for his work on internationally acclaimed non-fiction films.
|
E757379
|
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: Heino Deckert | Statement: [Human Flow, producer, Heino Deckert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heino Deckert Context triple: [Human Flow, producer, Heino Deckert]
-
A.
Rob Simonsen
Rob Simonsen is an American film composer known for his emotive, atmospheric scores for contemporary dramas and comedies.
-
B.
Jens Beckert
Jens Beckert is a German sociologist renowned for his work on economic sociology, particularly the role of expectations and uncertainty in markets.
-
C.
Markus Rygaard
Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
-
D.
Jesper Rasmussen
Jesper Rasmussen is a Danish professional footballer known for playing as a forward in Denmark’s top leagues.
-
E.
Joachim Lemelsen
Joachim Lemelsen was a German Wehrmacht general during World War II who held several high-ranking field commands on the Eastern and Italian fronts.
- 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: Heino Deckert Triple: [Human Flow, producer, Heino Deckert]
Generated description
Heino Deckert is a German film producer and documentary filmmaker known for his work on internationally acclaimed non-fiction films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heino Deckert Target entity description: Heino Deckert is a German film producer and documentary filmmaker known for his work on internationally acclaimed non-fiction films.
-
A.
Rob Simonsen
Rob Simonsen is an American film composer known for his emotive, atmospheric scores for contemporary dramas and comedies.
-
B.
Jens Beckert
Jens Beckert is a German sociologist renowned for his work on economic sociology, particularly the role of expectations and uncertainty in markets.
-
C.
Markus Rygaard
Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
-
D.
Jesper Rasmussen
Jesper Rasmussen is a Danish professional footballer known for playing as a forward in Denmark’s top leagues.
-
E.
Joachim Lemelsen
Joachim Lemelsen was a German Wehrmacht general during World War II who held several high-ranking field commands on the Eastern and Italian fronts.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f7441e8819081ea0ae7bc2afde7 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51f41eb081909124a5e74333a31d |
completed | April 3, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69cf55ec47f88190878724c4245410de |
completed | April 3, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5679f85c8190aebb19ad364fe202 |
completed | April 3, 2026, 5:56 a.m. |
Created at: March 30, 2026, 6:42 p.m.