Triple
T26989080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choupette |
E679816
|
entity |
| Predicate | authorOfBookAboutHer |
P175626
|
FINISHED |
| Object | Patrick Mauriès |
—
|
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: Patrick Mauriès | Statement: [Choupette, authorOfBookAboutHer, Patrick Mauriès]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfBookAboutHer Context triple: [Choupette, authorOfBookAboutHer, Patrick Mauriès]
-
A.
authorMother
Indicates that the subject is the mother of the author of the object entity.
-
B.
authorIsKnownFor
Indicates that a particular author is widely recognized or notable for a specific work, genre, contribution, or characteristic.
-
C.
isBiographerOf
Indicates that one person has written a biography about another person.
-
D.
authorDescribedIn
Indicates that information about an author is provided or discussed within a particular document or source.
-
E.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: April 27, 2026, 6:50 a.m.