Triple
T33631476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurovision Song Contest 1973 |
E861573
|
entity |
| Predicate | hostCountryEntryPerformer |
P177633
|
FINISHED |
| Object | Anne-Marie David |
—
|
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: Anne-Marie David | Statement: [Eurovision Song Contest 1973, hostCountryEntryPerformer, Anne-Marie David]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCountryEntryPerformer Context triple: [Eurovision Song Contest 1973, hostCountryEntryPerformer, Anne-Marie David]
-
A.
hostCountryPerformer
Indicates that a country serves as the host location for a given performer’s activities or performance.
-
B.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
C.
hasPerformerContinent
Indicates that the performer involved in an event or work is associated with a specific continent.
-
D.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
-
E.
hostCountryResult
Indicates the outcome or performance achieved by the host country in a particular event, competition, or context.
- F. None of above. chosen
Provenance (4 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:41 a.m.