Triple
T28819284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hewitt (entomologist) |
E727717
|
entity |
| Predicate | hasTaxonNamedAfter |
P15352
|
FINISHED |
| Object | Hewitt's dwarf burrowing skink |
—
|
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: Hewitt's dwarf burrowing skink | Statement: [John Hewitt (entomologist), hasTaxonNamedAfter, Hewitt's dwarf burrowing skink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTaxonNamedAfter Context triple: [John Hewitt (entomologist), hasTaxonNamedAfter, Hewitt's dwarf burrowing skink]
-
A.
hasNamedAfterPerson
Indicates that one entity is named in honor of, or derived from the name of, a specific person.
-
B.
isNamedForPersonFrom
Indicates that an entity is named after a person who originates from a specified place or region.
-
C.
speciesEponym
chosen
Indicates that a species is named in honor of a particular person or entity.
-
D.
isNamedForEponymRole
Indicates that one entity bears a name derived from another entity that serves as its eponym or namesake.
-
E.
hasAwardNamedAfter
Indicates that an entity has an award that is named in honor of another entity.
- F. None of above.
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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 6:34 a.m.