Triple
T16714545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Miroir des légendes |
E406189
|
entity |
| Predicate | reflectsInterestOf |
P72119
|
FINISHED |
| Object | Bernard Lazare in myth |
—
|
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: Bernard Lazare in myth | Statement: [Le Miroir des légendes, reflectsInterestOf, Bernard Lazare in myth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsInterestOf Context triple: [Le Miroir des légendes, reflectsInterestOf, Bernard Lazare in myth]
-
A.
representsInterestOf
Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
-
B.
reflectsInterestOfAuthorIn
chosen
Indicates that something expresses or reveals the author’s interest in a particular subject, entity, or topic.
-
C.
recognizedInterest
Indicates that one entity has formally acknowledged or identified another entity’s interest in something as valid or relevant.
-
D.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
E.
reflectsInterestOfArtistIn
Indicates that something expresses or demonstrates the artistic interest or concern of a particular artist.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38654ee4c8190abf36c29d6610a96 |
completed | April 18, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.