Triple
T16107859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Klopek |
E390786
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hans Klopek |
E390786
|
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: Hans Klopek | Statement: [Hans Klopek, name, Hans Klopek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Klopek Context triple: [Hans Klopek, name, Hans Klopek]
-
A.
Hans Klopek
chosen
Hans Klopek is a mysterious and unsettling neighbor in the dark comedy film "The 'Burbs," suspected by the protagonists of hiding sinister secrets.
-
B.
Josef Jennewein
Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
-
C.
Mr. Keuner
Mr. Keuner is a philosophical everyman figure created by Bertolt Brecht, used in a series of parable-like stories to explore ethical, political, and existential questions.
-
D.
Hermann Blankenstein
Hermann Blankenstein was a prominent 19th-century German architect best known for designing numerous public buildings in Berlin, particularly schools and administrative structures.
-
E.
Otto Nowak
Otto Nowak is a fictional character from Christopher Isherwood’s semi-autobiographical Berlin stories, notably depicted as a working-class youth in the politically turbulent Weimar-era setting.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6e55c08190b77f344e4e8c42ad |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003548837c819091695a91f88bd0bc |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5 a.m.