Triple
T37032627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sublime Paralytic |
E916536
|
entity |
| Predicate | refersToPersonWithDisability |
P101225
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Sublime Paralytic, refersToPersonWithDisability, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToPersonWithDisability Context triple: [Sublime Paralytic, refersToPersonWithDisability, yes]
-
A.
hasDisabilityRepresentation
Indicates that something includes, portrays, or accounts for the presence and experiences of people with disabilities.
-
B.
portraysCharacterWithDisability
chosen
Indicates that an entity depicts or represents a character who has a disability.
-
C.
usesWheelchair
Indicates that an entity relies on or operates a wheelchair for mobility or transportation.
-
D.
causeOfDisability
Indicates that one entity is the reason or source that brings about another entity’s disability.
-
E.
viewOnDisability
Indicates the stance, perspective, or attitude an entity holds toward disability or disabled individuals.
- 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 3, 2026, 4:14 p.m.