Triple
T32462411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudia Lahm |
E829611
|
entity |
| Predicate | spouseFormerNationalTeam |
P123121
|
FINISHED |
| Object | Germany national football team |
—
|
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: Germany national football team | Statement: [Claudia Lahm, spouseFormerNationalTeam, Germany national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseFormerNationalTeam Context triple: [Claudia Lahm, spouseFormerNationalTeam, Germany national football team]
-
A.
spouseOfTeam
Indicates that one entity is the spouse of a member of the specified team.
-
B.
spouseOfCountry
Indicates that an entity is the spouse or marital partner of a person who is associated with, represents, or is from a specified country.
-
C.
spouseOfFormer
chosen
Indicates that one entity is the spouse of another entity who is a former holder of some role, status, or position.
-
D.
spouseOfSportsFigure
Indicates a marital relationship where one person is the spouse of a sports figure.
-
E.
hasSpouseTeam
Indicates that one entity is a team associated with, or belonging to, the spouse of another 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: May 1, 2026, 12:57 a.m.