Triple
T15400999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Problem Child 2 |
E368313
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Peter Stein |
E721793
|
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: Peter Stein | Statement: [Problem Child 2, cinematographyBy, Peter Stein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Stein Context triple: [Problem Child 2, cinematographyBy, Peter Stein]
-
A.
Peter Stein
Peter Stein is a renowned German theatre and opera director known for his influential work with the Schaubühne in Berlin and his innovative, often epic stage productions.
-
B.
Peter Stein
chosen
Peter Stein is an American cinematographer known for his work on genre films, particularly in horror and thriller cinema.
-
C.
Herschel Garfein
Herschel Garfein is an American composer, librettist, and director known for his work in contemporary opera and concert music.
-
D.
Kurt Vogel
Kurt Vogel is a relatively obscure individual whose name is notably recorded but who lacks widely recognized public achievements or biographical prominence.
-
E.
Martin Stein
Martin Stein is a brilliant nuclear physicist and one half of the superhero Firestorm in the DC Comics universe and its television adaptations.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13567e3481908eb6293c6af35f3a |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.