Triple
T15132318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Outdoors |
E361449
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Arne Schmidt |
E910955
|
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: Arne Schmidt | Statement: [The Great Outdoors, producer, Arne Schmidt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arne Schmidt Context triple: [The Great Outdoors, producer, Arne Schmidt]
-
A.
Arne Schmidt
chosen
Arne Schmidt is a film producer best known for his work on the science fiction action franchise "RoboCop."
-
B.
Hans Sauer
Hans Sauer is a notable individual whose surname, Sauer, is recognized as being borne by him.
-
C.
Hans Grauert
Hans Grauert was a leading German mathematician known for his foundational contributions to complex analysis and several complex variables, particularly in the theory of complex manifolds.
-
D.
Hans Schmidt
Hans Schmidt is a common German personal name shared by numerous individuals across fields such as sports, politics, and the arts.
-
E.
Wolfgang Sauer
Wolfgang Sauer is a German singer known for his popular Schlager and easy-listening recordings in the mid-20th century.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed321d6108190a30b32f176e6d4dc |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:06 a.m.