Triple
T31553316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleeker, 1863 |
E805061
|
entity |
| Predicate | taxonAuthorLifeSpan |
P27074
|
FINISHED |
| Object | 1819–1878 |
—
|
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: 1819–1878 | Statement: [Bleeker, 1863, taxonAuthorLifeSpan, 1819–1878]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxonAuthorLifeSpan Context triple: [Bleeker, 1863, taxonAuthorLifeSpan, 1819–1878]
-
A.
authorLifespanContext
Indicates the temporal or historical context of an author’s life span in relation to other events, periods, or entities.
-
B.
yearOfTaxonName
Indicates the specific year in which a particular taxon name was formally established or published.
-
C.
creatorLifespan
chosen
Indicates the time period between the birth and death of the creator associated with an entity.
-
D.
depictedPersonLifespan
Indicates the time span between birth and death of the person shown in the depiction.
-
E.
eponymLifespan
Indicates the time span during which the person after whom something is named was alive.
- 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 30, 2026, 10:12 p.m.