Triple
T14566921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaos Walking |
E341807
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Erwin Stoff |
E350670
|
NE FINISHED |
How this triple was built (2 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: Erwin Stoff | Statement: [Chaos Walking, producer, Erwin Stoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erwin Stoff Context triple: [Chaos Walking, producer, Erwin Stoff]
-
A.
Erwin Stoff
chosen
Erwin Stoff is a Hollywood film producer and talent manager known for overseeing major studio projects and guiding the careers of high-profile actors.
-
B.
Egon Brecher
Egon Brecher was an Austrian-American actor and director known for his character roles in early 20th-century stage and Hollywood films.
-
C.
Günther Ramin
Günther Ramin was a prominent German organist, conductor, and composer best known for leading the Thomanerchor in Leipzig during the mid-20th century.
-
D.
Hans Waldmann
Hans Waldmann was a 15th-century Swiss military leader and later mayor of Zurich, noted for his prominent role in the Burgundian Wars and his controversial political career that ended in execution.
-
E.
Erwin Böhme
Erwin Böhme was a German World War I fighter ace and close associate of Oswald Boelcke, credited with numerous aerial victories on the Western Front.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a4c2cc81908c8acd3a1123208a |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 1:23 a.m.