Triple
T1677641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycée Bonaparte |
E36267
|
entity |
| Predicate | alumnusDistinction |
P12620
|
FINISHED |
| Object | first Nobel Prize in Literature laureate |
—
|
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: first Nobel Prize in Literature laureate | Statement: [Lycée Bonaparte, alumnusDistinction, first Nobel Prize in Literature laureate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alumnusDistinction Context triple: [Lycée Bonaparte, alumnusDistinction, first Nobel Prize in Literature laureate]
-
A.
hasDistinction
chosen
Indicates that one entity possesses, is awarded, or is recognized with a special honor, title, or mark of excellence in relation to another entity or context.
-
B.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
-
C.
graduatedWithHonors
Indicates that an entity completed an academic program with a distinction or honors-level achievement according to the institution’s criteria.
-
D.
hallOfFameAlumnus
Indicates that an individual is recognized as a Hall of Fame member associated with a particular institution, organization, or group.
-
E.
hasHonoraryDegreeFrom
Indicates that an individual has been awarded an honorary degree by a particular institution.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.