Triple
T23675265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donati family |
E584854
|
entity |
| Predicate | spouseOfFamilyMember |
P5174
|
FINISHED |
| Object | Dante Alighieri |
—
|
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: Dante Alighieri | Statement: [Donati family, spouseOfFamilyMember, Dante Alighieri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfFamilyMember Context triple: [Donati family, spouseOfFamilyMember, Dante Alighieri]
-
A.
spouseInFamily
Indicates that a person is a spouse (married partner) within the context of a specific family unit.
-
B.
spouseMember
Indicates that one entity is the spouse (married partner) of another entity.
-
C.
spouseFamily
chosen
Indicates a family relationship formed through marriage, such as between a person and their spouse’s relatives.
-
D.
spouseOfType
Indicates that one entity is the spouse of another, specifying the type or role of that spousal relationship.
-
E.
spouseMemberOf
Indicates that a person’s spouse is a member of a specified group, organization, or entity.
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f2e35c8190ada29694e2cbed37 |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:51 p.m.