Triple
T17714929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barb Wire |
E442170
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Peter Schink
Peter Schink is a film editor known for his work on the 1996 action film "Barb Wire."
|
E1383883
|
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: Peter Schink | Statement: [Barb Wire, editor, Peter Schink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Schink Context triple: [Barb Wire, editor, Peter Schink]
-
A.
Peter Schink
Peter Schink is a screenwriter best known for co-writing the apocalyptic action-horror film "Legion" (2010).
-
B.
Peter Kunhardt
Peter Kunhardt is an American documentary filmmaker and television producer known for creating and producing high-profile historical and biographical documentaries, often focused on American politics and civil rights.
-
C.
Peter Schlessel
Peter Schlessel is an American film executive and producer best known for leading and founding major independent film companies, including FilmDistrict.
-
D.
Peter Schweger
Peter Schweger is a German architect known for designing prominent contemporary buildings, including major high-rise projects.
-
E.
Robert Schrader
Robert Schrader is a mathematical physicist best known for co-developing the Osterwalder–Schrader axioms, which provide a rigorous foundation for Euclidean quantum field theory.
- 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: Peter Schink Triple: [Barb Wire, editor, Peter Schink]
Generated description
Peter Schink is a film editor known for his work on the 1996 action film "Barb Wire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Schink Target entity description: Peter Schink is a film editor known for his work on the 1996 action film "Barb Wire."
-
A.
Peter Schink
Peter Schink is a screenwriter best known for co-writing the apocalyptic action-horror film "Legion" (2010).
-
B.
Peter Kunhardt
Peter Kunhardt is an American documentary filmmaker and television producer known for creating and producing high-profile historical and biographical documentaries, often focused on American politics and civil rights.
-
C.
Peter Schlessel
Peter Schlessel is an American film executive and producer best known for leading and founding major independent film companies, including FilmDistrict.
-
D.
Peter Schweger
Peter Schweger is a German architect known for designing prominent contemporary buildings, including major high-rise projects.
-
E.
Robert Schrader
Robert Schrader is a mathematical physicist best known for co-developing the Osterwalder–Schrader axioms, which provide a rigorous foundation for Euclidean quantum field theory.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4747f217081909010f396caaf03be |
completed | April 19, 2026, 6:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0757617d188190bca3b093b6230405 |
completed | May 15, 2026, 5:26 p.m. |
| NEDg | Description generation | batch_6a07583fc26481908bd2f00c19f3b4cd |
completed | May 15, 2026, 5:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07594a23ac81908807df4605555d3f |
completed | May 15, 2026, 5:35 p.m. |
Created at: April 10, 2026, 10:06 a.m.