Triple
T15088406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jochen Hecht |
E360344
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jochen |
E759294
|
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: Jochen | Statement: [Jochen Hecht, givenName, Jochen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jochen Context triple: [Jochen Hecht, givenName, Jochen]
-
A.
Jochen
chosen
Jochen is a masculine given name of German origin commonly used in German-speaking countries.
-
B.
Jochen Nickel
Jochen Nickel is a German actor known for his character roles in films and television, including appearances in notable World War II dramas.
-
C.
Jochen Hecht
Jochen Hecht is a German former professional ice hockey forward who enjoyed a long NHL career, notably with the Buffalo Sabres, and represented Germany in multiple international tournaments.
-
D.
Sebastian Rudolph
Sebastian Rudolph is a German actor known for his work in film, television, and theater, including roles in historical and dramatic productions.
-
E.
Andreas Scholz
Andreas Scholz is a person known for bearing the surname Scholz, though no widely recognized public profile or specific notable achievements are clearly associated with him from the given information.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00276d1608190bc310d5b86ecd1d5 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1ba4208190b1e8c55668a1b422 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.