Triple
T11250677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfenstein: The New Order |
E266313
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jens Matthies |
E933071
|
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: Jens Matthies | Statement: [Wolfenstein: The New Order, producer, Jens Matthies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jens Matthies Context triple: [Wolfenstein: The New Order, producer, Jens Matthies]
-
A.
Jens Matthies
chosen
Jens Matthies is a video game director best known for leading the development of the acclaimed first-person shooter Wolfenstein: The New Order.
-
B.
Jens Meyer
Jens Meyer is a German local politician who serves as the mayor of the Bavarian town of Weiden in der Oberpfalz.
-
C.
Jens Beckert
Jens Beckert is a German sociologist renowned for his work on economic sociology, particularly the role of expectations and uncertainty in markets.
-
D.
Carsten Dominik
Carsten Dominik is a software developer and astronomer best known as the original creator of Org-mode for Emacs.
-
E.
Philipp Demandt
Philipp Demandt is a German art historian and museum director known for leading major cultural institutions such as the Städel Museum and the Liebieghaus Skulpturensammlung in Frankfurt.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e93212448190b46b3799b0bdfa0f |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e712e6288481908071e248a50209e0 |
completed | April 21, 2026, 6:02 a.m. |
Created at: April 8, 2026, 9:31 p.m.