Triple
T24646966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurovision Song Contest 1965 |
E610138
|
entity |
| Predicate | winningSongComposer |
P73785
|
FINISHED |
| Object | Serge Gainsbourg |
—
|
NE NERFINISHED |
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: Serge Gainsbourg | Statement: [Eurovision Song Contest 1965, winningSongComposer, Serge Gainsbourg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningSongComposer Context triple: [Eurovision Song Contest 1965, winningSongComposer, Serge Gainsbourg]
-
A.
winnerComposer
chosen
Indicates that the subject is the composer who won a particular contest, award, or competitive event.
-
B.
conductorOfWinningSong
Indicates that an entity served as the conductor for the song that won a particular competition or award.
-
C.
winningSong
Indicates that a song is the one that has won a particular contest, award, or competition.
-
D.
stateSongComposer
Indicates that a person is the composer of the official song of a particular state.
-
E.
musicalTheatreComposer
Indicates that a person composes music specifically for musical theatre productions.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:33 a.m.