Triple
T35765293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weller Martin |
E1033999
|
entity |
| Predicate | hasDynamicWith |
P156091
|
FINISHED |
| Object | Fonsia Dorsey |
—
|
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: Fonsia Dorsey | Statement: [Weller Martin, hasDynamicWith, Fonsia Dorsey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDynamicWith Context triple: [Weller Martin, hasDynamicWith, Fonsia Dorsey]
-
A.
hasParentChildDynamicWith
Indicates a relationship in which one entity assumes a parental role and the other assumes a child role, involving hierarchical care, guidance, or authority dynamics between them.
-
B.
hasDynamicalClass
Indicates that an entity belongs to a specific category defined by its dynamical or motion-related behavior (e.g., orbital or kinematic characteristics).
-
C.
hasDynamics
Indicates that one entity exhibits or is characterized by specific dynamic behavior, changes, or variations over time in relation to another entity or context.
-
D.
hasFamilyDynamic
chosen
Indicates the type or nature of the interpersonal relationships and interaction patterns that exist within a family unit.
-
E.
isPartOfDynamically
Indicates that one entity is currently a component or member of another entity in a way that can change over time or at runtime.
- 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_69f76e13edd081909101629aa829c4ad |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1c740a08190811bce8764914921 |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.