Triple
T9287364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lama guanicoe |
E223426
|
entity |
| Predicate | binomialAuthority |
P29848
|
FINISHED |
| Object | Müller, 1776 |
E393727
|
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: Müller, 1776 | Statement: [Lama guanicoe, binomialAuthority, Müller, 1776]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Müller, 1776 Context triple: [Lama guanicoe, binomialAuthority, Müller, 1776]
-
A.
Müller
Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
-
B.
Rudolphi, 1808
Rudolphi, 1808 refers to the original taxonomic authorship and year of description by Karl Asmund Rudolphi for the phylum Nematoda.
-
C.
Meyer-Lübke
Meyer-Lübke is the surname of Wilhelm Meyer-Lübke, a prominent Swiss linguist known for his influential work in Romance philology.
-
D.
Statius Müller
chosen
Statius Müller was an 18th-century German zoologist and ornithologist known for his early taxonomic descriptions of numerous animal species.
-
E.
Johann Friedrich Wolff
Johann Friedrich Wolff was a German physician and botanist known for his contributions to plant taxonomy in the late 18th and early 19th centuries.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0861425c81909e3ab11e19cc2f65 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b22753e481908bf19c7da13556d6 |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:35 p.m.