Triple
T32898582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fredrick Zoller |
E841543
|
entity |
| Predicate | roleInStolzDerNation |
P202178
|
FINISHED |
| Object | protagonist |
—
|
LITERAL 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: protagonist | Statement: [Fredrick Zoller, roleInStolzDerNation, protagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInStolzDerNation Context triple: [Fredrick Zoller, roleInStolzDerNation, protagonist]
-
A.
roleInEurope
Indicates that an entity holds a specific function, position, or responsibility within a European context, such as within Europe as a region or its institutions.
-
B.
roleInPoland
Indicates that an entity holds or has held a specific role, position, or function within the context of Poland.
-
C.
roleInModelland
Indicates that an entity has a specific role or function within a defined model or modeling framework.
-
D.
roleInRussia
Indicates that an entity holds or has held an official or notable role, position, or function within the context of Russia.
-
E.
roleInRolandLife
Indicates that one entity holds a particular role or significance in the life or personal experience of Roland.
- F. None of above. chosen
Provenance (4 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a005d878aec81908e1177914a8fb610 |
completed | May 10, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a005c382f8881908ff33ebb7f88c430 |
completed | May 10, 2026, 10:21 a.m. |
| PDg | Predicate description generation | batch_6a005d86d6e481909e9f6ae81568cfb8 |
completed | May 10, 2026, 10:27 a.m. |
Created at: May 1, 2026, 1:19 a.m.