Triple
T5005491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison Cawthorn |
E112479
|
entity |
| Predicate | paraplegic |
P148
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Madison Cawthorn, paraplegic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paraplegic Context triple: [Madison Cawthorn, paraplegic, true]
-
A.
lostLimb
Indicates that an entity has had one or more of its limbs removed or rendered permanently absent, typically as a result of injury, surgery, or trauma.
-
B.
disability
chosen
Indicates that an entity has a physical, mental, or sensory impairment that substantially limits one or more major life activities.
-
C.
par
Indicates that two entities are parallel to each other in space or direction.
-
D.
causeOfDisability
Indicates that one entity is the reason or source that brings about another entity’s disability.
-
E.
hasPartialReflexesIn
Indicates that an entity exhibits reflex responses only partially or incompletely within a specified body region or context.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.