Triple
T14400333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Michael J. Fox Show |
E357051
|
entity |
| Predicate | featuresCondition |
P114092
|
FINISHED |
| Object | Parkinson’s disease |
—
|
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: Parkinson’s disease | Statement: [The Michael J. Fox Show, featuresCondition, Parkinson’s disease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCondition Context triple: [The Michael J. Fox Show, featuresCondition, Parkinson’s disease]
-
A.
varietyCondition
Indicates a condition, constraint, or context under which a particular variety or variant of something applies or is relevant.
-
B.
coreCondition
Indicates that something serves as the primary or fundamental condition that must hold for a situation, process, or relationship to apply.
-
C.
supportsCondition
Indicates that one entity helps maintain, enable, or is compatible with a particular condition or state in another entity.
-
D.
targetedCondition
Indicates that an action, intervention, or entity is specifically directed toward affecting, treating, or addressing a particular condition.
-
E.
featureSet
Indicates that one entity is a collection or configuration of features associated with or applied to another entity.
- F. None of above. chosen
Provenance (4 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de908500048190bb6a20fe318d5c62 |
completed | April 14, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e08b6c08190bb4c929deab236a6 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:17 a.m.