Triple
T14935477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bust of Sophie Arnould |
E372378
|
entity |
| Predicate | subjectNotability |
P34707
|
FINISHED |
| Object | celebrated French opera singer |
—
|
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: celebrated French opera singer | Statement: [Bust of Sophie Arnould, subjectNotability, celebrated French opera singer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectNotability Context triple: [Bust of Sophie Arnould, subjectNotability, celebrated French opera singer]
-
A.
subjectNotableFor
chosen
Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
-
B.
hasNotableSubject
Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
-
C.
notabilityScope
Indicates the domain, field, or context within which something is considered notable or significant.
-
D.
notableStorySubject
Indicates that the subject is a prominent or central topic, character, or element within a particular story or narrative.
-
E.
notabilityReason
Indicates the specific cause, basis, or context for which an entity is considered notable or significant.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded647ae388190a0e97c03f2a4d832 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:37 a.m.