Triple
T16851392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pharomachrus |
E409682
|
entity |
| Predicate | taxonAuthor |
P7386
|
FINISHED |
| Object | Gloger |
E852979
|
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: Gloger | Statement: [Pharomachrus, taxonAuthor, Gloger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloger Context triple: [Pharomachrus, taxonAuthor, Gloger]
-
A.
Gloger
chosen
Gloger is a German surname most notably associated with the 19th-century zoologist and ornithologist Constantin Wilhelm Lambert Gloger.
-
B.
Gschwandtkopf
Gschwandtkopf is a prominent alpine mountain in the Tyrol region of Austria, popular for skiing, hiking, and panoramic views over the Seefeld plateau.
-
C.
Gogolin
Gogolin is a small town in southwestern Poland known for its Silesian cultural heritage and location within the Opole region.
-
D.
Marheineke
Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
-
E.
Sonnemann
Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b379b8fc81908d8bc9950c7f8bad |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1f02648190937c692af83843dc |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.