Triple
T9315837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werner Stengel |
E224115
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Zierer |
E25304
|
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: Zierer | Statement: [Werner Stengel, hasCollaboratedWith, Zierer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zierer Context triple: [Werner Stengel, hasCollaboratedWith, Zierer]
-
A.
Zierer
chosen
Zierer is a German amusement ride manufacturer known for producing family-friendly roller coasters and classic flat rides for theme parks worldwide.
-
B.
Hirzer
Hirzer is a prominent mountain peak in the Sarntal Alps of South Tyrol, Italy, known for its panoramic hiking routes and scenic alpine views.
-
C.
Zurer
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
-
D.
Kritzinger
Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
-
E.
Mieresch
Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358846e48190a8aacfab19d88ae7 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7acba54819086da668f234321de |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:37 p.m.