Triple
T20323864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Risch |
E492280
|
entity |
| Predicate | hasBiographyIn |
P5385
|
FINISHED |
| Object | English Wikipedia |
—
|
NE NERFINISHED |
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: English Wikipedia | Statement: [Daniel Risch, hasBiographyIn, English Wikipedia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: English Wikipedia Context triple: [Daniel Risch, hasBiographyIn, English Wikipedia]
-
A.
English Wikipedia
chosen
English Wikipedia is the largest and most widely used edition of the free, collaboratively edited online encyclopedia Wikipedia, written primarily in English.
-
B.
Wikipedia
Wikipedia is a free, collaboratively edited online encyclopedia that allows users worldwide to create and modify its articles.
-
C.
Abstract Wikipedia
Abstract Wikipedia is a Wikimedia project aiming to create language-independent, structured representations of encyclopedia articles that can be rendered into many natural languages.
-
D.
britannica.com
britannica.com is the official website of Encyclopaedia Britannica, offering a comprehensive, curated digital encyclopedia and educational resources.
-
E.
Russian Wikipedia
Russian Wikipedia is the Russian-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778e59508190bfd7a3ce44d56a93 |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:21 a.m.