Triple
T8617045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sture Allén |
E204063
|
entity |
| Predicate | academic title |
P73265
|
FINISHED |
| Object | professor |
—
|
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: professor | Statement: [Sture Allén, academic title, professor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academic title Context triple: [Sture Allén, academic title, professor]
-
A.
academicTitleOf
chosen
Indicates that one entity is the academic title or rank held by another entity.
-
B.
academicTitleAbbreviation
Indicates that one entity is the standard abbreviated form of another entity’s full academic title.
-
C.
academicHead
Indicates that one entity serves as the chief academic leader or head of another entity, such as a department, program, or institution.
-
D.
honorificDegree
Indicates that an entity has been awarded an honorary academic degree or title, typically in recognition of merit rather than completion of formal study.
-
E.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4711c7748190af26ff5a78ef66a2 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.