Triple
T32507007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Hübscher |
E830825
|
entity |
| Predicate | notableTraitInSources |
P201460
|
FINISHED |
| Object | frank speech |
—
|
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: frank speech | Statement: [Catherine Hübscher, notableTraitInSources, frank speech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTraitInSources Context triple: [Catherine Hübscher, notableTraitInSources, frank speech]
-
A.
notableTraitInFiction
Indicates that a particular trait, characteristic, or quality is especially prominent or defining for an entity within fictional works.
-
B.
hasParticularNotableCharacteristic
chosen
Indicates that an entity possesses a specific, noteworthy characteristic or quality that distinguishes it in some relevant context.
-
C.
notableTraitOnStage
Indicates that an entity is characterized by a distinctive or noteworthy trait specifically in the context of performing or appearing on stage.
-
D.
notableTraitInGames
Indicates that a particular characteristic or quality is especially prominent or well-known in the context of games.
-
E.
notableCollectionCharacteristic
Indicates that a collection is distinguished by a particular defining feature or quality that makes it notable.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1 a.m.