Triple
T20260336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philipp Bouhler |
E498816
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Philipp |
—
|
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: Philipp | Statement: [Philipp Bouhler, givenName, Philipp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philipp Context triple: [Philipp Bouhler, givenName, Philipp]
-
A.
Philipp
chosen
Philipp is a male given name of Greek origin, commonly used in various European countries and historically borne by numerous nobles and royals.
-
B.
Philipp
Philipp is the German given name of Philip Melanchthon, the influential 16th-century German Lutheran reformer and collaborator of Martin Luther.
-
C.
Philipp
Philipp is the given name of Carl Philipp Emanuel Bach, an influential 18th-century German composer and musician.
-
D.
Philipp
Philipp was the given name of the 19th-century German botanist and explorer Carl Friedrich Philipp von Martius, renowned for his extensive studies of Brazilian flora.
-
E.
Philipp
Philipp is the given name of Philipp Franz von Siebold, a 19th-century German physician and naturalist renowned for his pioneering studies of Japanese flora, fauna, and culture.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c90d00819082f68822635ee86a |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.