Triple
T7027382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Generalized Advantage Estimation |
E163182
|
entity |
| Predicate | proposedBy |
P32
|
FINISHED |
| Object | Philipp Moritz |
E180169
|
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: Philipp Moritz | Statement: [Generalized Advantage Estimation, proposedBy, Philipp Moritz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philipp Moritz Context triple: [Generalized Advantage Estimation, proposedBy, Philipp Moritz]
-
A.
Philipp Moritz
chosen
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.
-
B.
Moritz
Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
-
C.
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."
-
D.
Christoph
Christoph is the given name of Christoph Willibald Gluck, the influential 18th-century composer known for reforming opera.
-
E.
George Graf
George Graf was a co-founder of Carroll & Graf, an American publishing company known for its eclectic catalog of literary and genre titles.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fee32081908eff988b18daa6d0 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77588285481909799a2bb76921b9a |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:35 p.m.