Triple
T20183505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anaconda (1997 film) |
E492792
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Hans Bauer |
—
|
NE NERFINISHED |
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: Hans Bauer | Statement: [Anaconda (1997 film), writer, Hans Bauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Bauer Context triple: [Anaconda (1997 film), writer, Hans Bauer]
-
A.
Hans Bauer
chosen
Hans Bauer is a screenwriter best known for co-writing the science fiction animated film "Titan A.E."
-
B.
Hans Klopek
Hans Klopek is a mysterious and unsettling neighbor in the dark comedy film "The 'Burbs," suspected by the protagonists of hiding sinister secrets.
-
C.
Carl Fieger
Carl Fieger was a German architect and designer associated with the Bauhaus movement, known for his innovative modernist buildings and furniture designs.
-
D.
Heinrich Müller
Heinrich Müller was the chief of the Gestapo, Nazi Germany’s secret state police, and a key figure in the regime’s apparatus of repression and terror.
-
E.
Bernie Gunther
Bernie Gunther is a cynical, morally complex German detective who navigates crime and corruption in Nazi-era and postwar Europe in Philip Kerr’s historical crime novels.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.