Triple
T36136643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sawyer Nelson |
E1045185
|
entity |
| Predicate | helpsRehabilitate |
P91742
|
FINISHED |
| Object | Winter |
—
|
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: Winter | Statement: [Sawyer Nelson, helpsRehabilitate, Winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsRehabilitate Context triple: [Sawyer Nelson, helpsRehabilitate, Winter]
-
A.
rehabilitationSupport
Indicates providing assistance, resources, or services that help an entity recover, restore function, or reintegrate after injury, illness, or adverse conditions.
-
B.
rehabilitates
chosen
Indicates that one entity restores, reforms, or helps another entity return to a previous or improved functional, social, or legal state after damage, illness, or wrongdoing.
-
C.
rehabilitationMethod
Indicates the method, technique, or approach used to carry out a rehabilitation process on an entity.
-
D.
hasRehabilitationFocus
Indicates that an entity is oriented toward or primarily concerned with rehabilitation activities, goals, or outcomes.
-
E.
rehabilitationProject
Indicates that an entity is involved in a project aimed at restoring, improving, or returning something to a better or functional condition.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.