Triple
T16190227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Madison |
E392915
|
entity |
| Predicate | conditionDetail |
P22542
|
FINISHED |
| Object | Billy must complete all grades 1–12 in 24 weeks |
—
|
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: Billy must complete all grades 1–12 in 24 weeks | Statement: [Brian Madison, conditionDetail, Billy must complete all grades 1–12 in 24 weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionDetail Context triple: [Brian Madison, conditionDetail, Billy must complete all grades 1–12 in 24 weeks]
-
A.
conditions
chosen
Indicates that one entity specifies or imposes requirements, constraints, or circumstances that must be satisfied or hold true for another entity or situation.
-
B.
conditionsDescribedAs
Indicates that one entity is described or characterized in terms of certain conditions specified by another entity.
-
C.
conditionStudied
Indicates that a particular condition (e.g., disease, state, or circumstance) is the focus of study or investigation in a given context.
-
D.
clinicalSignOf
Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
-
E.
scopeDetail
Indicates a more specific or refined characterization of the extent, boundaries, or coverage of something within a broader scope.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d4ab8081909a02e5138b29b83b |
completed | April 17, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.