Triple
T31763188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solveig Karadottir |
E810733
|
entity |
| Predicate | spouseFatherMemberOf |
P194427
|
FINISHED |
| Object | The Beatles |
—
|
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: The Beatles | Statement: [Solveig Karadottir, spouseFatherMemberOf, The Beatles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseFatherMemberOf Context triple: [Solveig Karadottir, spouseFatherMemberOf, The Beatles]
-
A.
spouseMemberOf
Indicates that a person’s spouse is a member of a specified group, organization, or entity.
-
B.
spouseInFamily
Indicates that a person is a spouse (married partner) within the context of a specific family unit.
-
C.
spouseMember
Indicates that one entity is the spouse (married partner) of another entity.
-
D.
spouseFamily
Indicates a family relationship formed through marriage, such as between a person and their spouse’s relatives.
-
E.
spouseOfType
Indicates that one entity is the spouse of another, specifying the type or role of that spousal relationship.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
| PDg | Predicate description generation | batch_69fd6f9a8bd881909983fe8f4cd0ba98 |
completed | May 8, 2026, 5:07 a.m. |
Created at: April 30, 2026, 11:31 p.m.