Triple
T29092572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marguerite |
E734893
|
entity |
| Predicate | sharesPassionFor |
P143793
|
FINISHED |
| Object | cuisine |
—
|
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: cuisine | Statement: [Marguerite, sharesPassionFor, cuisine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesPassionFor Context triple: [Marguerite, sharesPassionFor, cuisine]
-
A.
hasPassion
chosen
Indicates that one entity feels a strong enthusiasm, interest, or love for another entity, activity, or subject.
-
B.
viewsOnPassions
Indicates a subject’s opinions, attitudes, or theoretical stance regarding emotions or passions.
-
C.
favoriteHobby
Indicates that one entity has another entity as the hobby they enjoy doing the most.
-
D.
sharesExperiencesIn
Indicates that one entity communicates or participates in personal or relevant experiences within a particular context, setting, or medium with another entity.
-
E.
sharesPatronageWith
Indicates that two entities are supported, sponsored, or funded by the same patron or sponsoring party.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: April 28, 2026, 11:06 a.m.