Triple
T25962519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Weber |
E645577
|
entity |
| Predicate | isSharedByProfessionGroup |
P110532
|
FINISHED |
| Object | academics |
—
|
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: academics | Statement: [Thomas Weber, isSharedByProfessionGroup, academics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSharedByProfessionGroup Context triple: [Thomas Weber, isSharedByProfessionGroup, academics]
-
A.
hasProfessionalGroup
chosen
Indicates that an entity belongs to, is associated with, or is categorized under a particular professional group or category.
-
B.
isSharedBy
Indicates that something is jointly possessed, used, or experienced by two or more entities.
-
C.
isAssociatedWithProfessionOfBearer
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
-
D.
hasTypeOfWorkingGroup
Indicates that an entity is associated with or classified under a specific type or category of working group.
-
E.
isCommonInProfession
Indicates that something frequently occurs, appears, or is typical within a given profession or occupational field.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604c70f208190a8154d17108e47d9 |
completed | May 2, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:47 a.m.