Triple
T7993536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Jenyns |
E186065
|
entity |
| Predicate | authorOfTaxon |
P7386
|
FINISHED |
| Object | various fish species |
—
|
LITERAL 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: various fish species | Statement: [Leonard Jenyns, authorOfTaxon, various fish species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfTaxon Context triple: [Leonard Jenyns, authorOfTaxon, various fish species]
-
A.
taxonomicAuthority
chosen
Indicates the entity that formally described, named, or classified another entity in a taxonomic context.
-
B.
speciesEponym
Indicates that a species is named in honor of a particular person or entity.
-
C.
authorName
Indicates the name associated with the person or entity that authored a given work or resource.
-
D.
firstPublicationAuthorName
Indicates the name of the author who wrote the work’s first published edition.
-
E.
authorTraditionallyAscribedTo
Indicates that authorship of a work is customarily or historically attributed to an entity, even if definitive proof of authorship may be uncertain or disputed.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c729afc81909d477b1623ac3f9d |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:16 p.m.