Triple
T24202299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poems on Several Occasions |
E600013
|
entity |
| Predicate | authorSibling |
P86555
|
FINISHED |
| Object | John Wesley |
—
|
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: John Wesley | Statement: [Poems on Several Occasions, authorSibling, John Wesley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorSibling Context triple: [Poems on Several Occasions, authorSibling, John Wesley]
-
A.
sibling
Indicates that two entities share at least one parent, making them brothers or sisters to each other.
-
B.
artistSiblingOfDepicted
Indicates that the artist creating the work is a sibling of the person depicted in it.
-
C.
hasSiblingAuthors
chosen
Indicates that two or more authors share at least one parent, i.e., they are siblings who have both authored works.
-
D.
stepSibling
Indicates that two people share at least one parent but do not share both biological parents, making them step-siblings.
-
E.
bearerSibling
Indicates that the related entity is a sibling (sharing at least one parent) of the bearer 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca2d6708190ba20d00870d0af49 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.