Triple
T7482117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moritz |
E176784
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Moritz (surname) |
E176784
|
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: Moritz (surname) | Statement: [Moritz, hasVariant, Moritz (surname)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moritz (surname) Context triple: [Moritz, hasVariant, Moritz (surname)]
-
A.
Moritz
chosen
Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
-
B.
Moritz Klaus
Moritz Klaus is a German actor best known internationally for his role in the 2022 anti-war film "All Quiet on the Western Front."
-
C.
Philipp Moritz
Philipp Moritz is a researcher in machine learning and reinforcement learning, known for co-authoring influential work such as the Proximal Policy Optimization (PPO) algorithm.
-
D.
Moritz Borman
Moritz Borman is a film producer known for working on major Hollywood productions, including the science fiction action film "Terminator Salvation."
-
E.
Mironovich
Mironovich is a Russian patronymic derived from the male given name Miron, indicating "son of Miron."
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5374bb08190bdf6ca72a3d0cd1c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83498965481909367681b63c5db63 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.