Triple
T24168480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sans contrefaçon |
E599059
|
entity |
| Predicate | isFrequentlyAnthologizedOn |
P31760
|
FINISHED |
| Object | Mylène Farmer greatest hits compilations |
—
|
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: Mylène Farmer greatest hits compilations | Statement: [Sans contrefaçon, isFrequentlyAnthologizedOn, Mylène Farmer greatest hits compilations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyAnthologizedOn Context triple: [Sans contrefaçon, isFrequentlyAnthologizedOn, Mylène Farmer greatest hits compilations]
-
A.
isFrequentlyAnthologized
chosen
Indicates that a work is often selected and included in multiple anthologies or collected editions.
-
B.
containsPoemsFrom
Indicates that one entity includes or features poems that originate from or are authored in association with another entity.
-
C.
hasAnthologyRelation
Indicates that there is a relationship between entities based on their inclusion in, contribution to, or association with the same anthology or collected work.
-
D.
numberInAnthology
Indicates the specific position or sequence number that a work occupies within an anthology.
-
E.
notableAnthologyEdited
Indicates that an entity has served as the editor of a notable anthology involving another entity.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.