Triple
T24041946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Holzwarth |
E595404
|
entity |
| Predicate | hasMentorRole |
P3295
|
FINISHED |
| Object | Armin Hansen |
—
|
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: Armin Hansen | Statement: [Carlos Holzwarth, hasMentorRole, Armin Hansen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMentorRole Context triple: [Carlos Holzwarth, hasMentorRole, Armin Hansen]
-
A.
hasTrainingRole
Indicates that an entity holds or is assigned a specific role within a training or instructional context.
-
B.
hasTeachingRole
chosen
Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
-
C.
mentorOrPartner
Indicates a relationship in which one entity either provides guidance and support to another as a mentor or collaborates with them on relatively equal footing as a partner.
-
D.
hasFormerPupilRole
Indicates that an entity previously held the role or position of a pupil or student in relation to another entity.
-
E.
hasEducationalRole
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8da38548190b2cc04ce7960ef9c |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:58 p.m.