Triple
T16777512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Baptist von Spix |
E407765
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | von Spix |
E407765
|
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: von Spix | Statement: [Johann Baptist von Spix, familyName, von Spix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Spix Context triple: [Johann Baptist von Spix, familyName, von Spix]
-
A.
Johann Baptist von Spix
chosen
Johann Baptist von Spix was a German naturalist and explorer known for his pioneering zoological research and extensive expeditions in Brazil in the early 19th century.
-
B.
Eschscholtz
Eschscholtz was a 19th-century naturalist and zoologist known for formally describing various marine species, including the olive ridley sea turtle.
-
C.
Wagler
Wagler is a German surname most notably associated with Johann Georg Wagler, a 19th-century zoologist and herpetologist.
-
D.
Kuno Becker
Kuno Becker is a Mexican actor best known internationally for starring in the "Goal!" film series and appearing in various Spanish-language telenovelas and Hollywood movies.
-
E.
Bischoffen
Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b212fc248190a8fe1124853bf16d |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafe1f8081909b9540aca6e7b9b7 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.