Triple
T32894565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | little Mary |
E841432
|
entity |
| Predicate | typicalReferent |
—
|
GENERATED |
| Object | young girl named Mary |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalReferent Context triple: [little Mary, typicalReferent, young girl named Mary]
-
A.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
B.
refersSpecificallyTo
Indicates that one entity makes an explicit, precise reference to another particular entity, distinguishing it from more general or ambiguous references.
-
C.
primaryReferent
chosen
Indicates that one entity is the main or most salient referent associated with another entity among potentially multiple candidates.
-
D.
typicalSymbol
Indicates that something serves as a characteristic or commonly recognized symbol representing something else.
-
E.
typicalBase
Indicates that one entity serves as the standard or most representative base or foundation for another entity in typical or common cases.
- F. None of above.
Provenance (1 batch)
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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:18 a.m.