Triple
T17889396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dancing Years |
E447274
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | My Dearest Dear |
—
|
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: My Dearest Dear | Statement: [The Dancing Years, notableSong, My Dearest Dear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Dearest Dear Context triple: [The Dancing Years, notableSong, My Dearest Dear]
-
A.
My Dearest Dear
chosen
"My Dearest Dear" is a romantic popular song composed by renowned Welsh songwriter and entertainer Ivor Novello.
-
B.
Dearest
Dearest is a character appearing in the 1921 silent film adaptation of "Little Lord Fauntleroy."
-
C.
Dearest
"Dearest" is a rhythm and blues song recorded by the American duo Mickey & Sylvia, known for their smooth vocal harmonies and guitar work in the 1950s.
-
D.
So Dear to My Heart
So Dear to My Heart is a 1948 Disney live-action/animated musical film that nostalgically portrays a boy’s bond with a black lamb in rural Indiana.
-
E.
Dearie
Dearie is the surname of American jazz singer and pianist Blossom Dearie, known for her light, delicate vocal style and sophisticated interpretations of standards.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7828b481909b645fceb37a7ca3 |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 10, 2026, 10:18 a.m.