Triple
T37989789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonlight Sonata |
E947792
|
entity |
| Predicate | popularNicknameOrigin |
P81266
|
FINISHED |
| Object | coined after Beethoven’s death |
—
|
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: coined after Beethoven’s death | Statement: [Moonlight Sonata, popularNicknameOrigin, coined after Beethoven’s death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularNicknameOrigin Context triple: [Moonlight Sonata, popularNicknameOrigin, coined after Beethoven’s death]
-
A.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
B.
mediaNicknameOrigin
chosen
Indicates that a media-related nickname originates from, or is derived based on, a particular source or context.
-
C.
hasNicknames
Indicates that an entity is known or referred to by one or more alternative informal names.
-
D.
nicknameExplained
Indicates that an entity’s nickname is clarified, justified, or given context by another piece of information.
-
E.
nickNameMeaning
Indicates that a nickname is associated with a particular meaning, interpretation, or significance.
- 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_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:20 p.m.