Triple
T37989790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonlight Sonata |
E947792
|
entity |
| Predicate | popularNicknameLanguage |
P40387
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Moonlight Sonata, popularNicknameLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularNicknameLanguage Context triple: [Moonlight Sonata, popularNicknameLanguage, English]
-
A.
hasLanguageOfNickname
chosen
Indicates that an entity’s nickname is expressed in, or associated with, a particular language.
-
B.
hasNicknames
Indicates that an entity is known or referred to by one or more alternative informal names.
-
C.
nickNameMeaning
Indicates that a nickname is associated with a particular meaning, interpretation, or significance.
-
D.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
E.
hasAffectionateNicknameFor
Indicates that one entity uses or assigns a fond, affectionate, or endearing nickname to 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.