Triple
T20013919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hymne à l’amour |
E494660
|
entity |
| Predicate | notablePerformer |
P17435
|
FINISHED |
| Object | Vera Lynn |
—
|
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: Vera Lynn | Statement: [Hymne à l’amour, notablePerformer, Vera Lynn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vera Lynn Context triple: [Hymne à l’amour, notablePerformer, Vera Lynn]
-
A.
Vera Lynn
chosen
Vera Lynn was a beloved British singer known as the “Forces’ Sweetheart” for her morale-boosting songs during World War II.
-
B.
Barbara Whiteman
Barbara Whiteman is a wealthy, neurotic Beverly Hills housewife whose life is upended by a homeless man in the comedy film "Down and Out in Beverly Hills."
-
C.
Barbara Whiteman
Barbara Whiteman is known as the wife of Dave Whiteman.
-
D.
Jenny Whiteman
Jenny Whiteman is a member of the Whiteman family, known primarily as the daughter of Dave Whiteman.
-
E.
Gracie Fields
Gracie Fields was a popular British singer, comedian, and actress of the early to mid-20th century, renowned for her warm, working-class persona and hit songs in music hall and film.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623a9bd48190a3344a07540170c7 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.