Triple
T34747980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuela Schwesig |
E1001688
|
entity |
| Predicate | publiclySpokeAbout |
P3281
|
FINISHED |
| Object | her breast cancer diagnosis |
—
|
LITERAL FINISHED |
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: her breast cancer diagnosis | Statement: [Manuela Schwesig, publiclySpokeAbout, her breast cancer diagnosis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publiclySpokeAbout Context triple: [Manuela Schwesig, publiclySpokeAbout, her breast cancer diagnosis]
-
A.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
B.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
-
C.
hasSpokenAbout
chosen
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
D.
publiclyMentionedBy
Indicates that an entity has been named, referenced, or discussed in a public context by another entity.
-
E.
spokenOfAs
Indicates that one entity is referred to, characterized, or talked about in a particular way by another entity or within a given context.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
Created at: May 3, 2026, 3:59 p.m.