Triple
T36371424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unlikely Stories, Mostly |
E895765
|
entity |
| Predicate | containsSelfIllustrationsBy |
P2761
|
FINISHED |
| Object | Alasdair Gray |
—
|
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: Alasdair Gray | Statement: [Unlikely Stories, Mostly, containsSelfIllustrationsBy, Alasdair Gray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSelfIllustrationsBy Context triple: [Unlikely Stories, Mostly, containsSelfIllustrationsBy, Alasdair Gray]
-
A.
hasIllustrationsBy
chosen
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
B.
hasIllustrations
Indicates that an entity includes or is accompanied by visual illustrations.
-
C.
hasIllustrativeElement
Indicates that one entity includes, contains, or is associated with a visual or illustrative component that helps depict, explain, or exemplify it.
-
D.
includesArtBy
Indicates that one entity contains, features, or presents artwork created by another entity.
-
E.
hasNotableIllustrationsOf
Indicates that something contains or features particularly significant or noteworthy illustrations depicting another entity or subject.
- 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_69f76e5115588190ad8738860b7bc68b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0127c36dc08190b07765756b3d0e1b |
completed | May 11, 2026, 12:50 a.m. |
| PD | Predicate disambiguation | batch_6a0125ef57208190be5b5e761fcae981 |
completed | May 11, 2026, 12:42 a.m. |
Created at: May 3, 2026, 4:10 p.m.