Triple
T18985364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dee Dee Blanchard |
E464541
|
entity |
| Predicate | usedMobilityAidForDaughter |
P60789
|
FINISHED |
| Object | wheelchair |
—
|
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: wheelchair | Statement: [Dee Dee Blanchard, usedMobilityAidForDaughter, wheelchair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedMobilityAidForDaughter Context triple: [Dee Dee Blanchard, usedMobilityAidForDaughter, wheelchair]
-
A.
usesWheelchair
chosen
Indicates that an entity relies on or operates a wheelchair for mobility or transportation.
-
B.
supportsMobilityType
Indicates that one entity provides compatibility with, or can function using, a specified type of mobility or movement mode.
-
C.
wheelchairAccessibility
Indicates whether a place, service, or route is accessible and usable by people who use wheelchairs.
-
D.
usedByFamily
Indicates that something is regularly utilized or consumed by a family as a group.
-
E.
causeOfDisability
Indicates that one entity is the reason or source that brings about another entity’s disability.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65f7f08819088f56e8e030851b1 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.