Triple
T12326932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liù |
E293852
|
entity |
| Predicate | notableInterpreterType |
P20971
|
FINISHED |
| Object | soprano |
—
|
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: soprano | Statement: [Liù, notableInterpreterType, soprano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInterpreterType Context triple: [Liù, notableInterpreterType, soprano]
-
A.
notableInterpretationBy
Indicates that an entity has a significant or widely recognized interpretation, analysis, or reading provided by a particular agent (such as a person, group, or source).
-
B.
notableTypeOf
Indicates that one entity is a particularly prominent, well-known, or exemplary instance or subtype of another entity.
-
C.
notableInterpretation
Indicates that an entity is a significant or widely recognized interpretation, rendition, or version of another work, concept, or subject.
-
D.
notableCharacterType
chosen
Indicates that an entity is a notable or prominent example of a specified character type or role.
-
E.
notableStar
Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.