Triple
T12896753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Paul Perrin |
E308513
|
entity |
| Predicate | hasWidelyDocumentedPublicAchievements |
P107335
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Jean-Paul Perrin, hasWidelyDocumentedPublicAchievements, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWidelyDocumentedPublicAchievements Context triple: [Jean-Paul Perrin, hasWidelyDocumentedPublicAchievements, no]
-
A.
hasNationalAchievements
Indicates that an entity possesses notable accomplishments or recognitions at the national level.
-
B.
hasNotableRecognitionFor
Indicates that an entity has received notable recognition, such as awards, honors, or distinctions, specifically for another entity or achievement.
-
C.
associatedWithNotableAchievementOfNameBearer
Indicates a relationship where an entity is linked to a notable achievement accomplished by a person who bears a particular name.
-
D.
notableYouthAchievement
Indicates that an entity is recognized for a significant or distinguished accomplishment achieved during its youth.
-
E.
hasNotableHonor
Indicates that an entity has received a significant award, title, or formal recognition of distinction.
- F. None of above. chosen
Provenance (4 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717d859481908957510babac2d69 |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:40 p.m.