Triple
T22980955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | And This Is My Beloved |
E571461
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | George Forrest |
—
|
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: George Forrest | Statement: [And This Is My Beloved, lyricist, George Forrest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Forrest Context triple: [And This Is My Beloved, lyricist, George Forrest]
-
A.
George Forrest
chosen
George Forrest was an American musical theater composer and lyricist best known for adapting classical music into popular Broadway scores, often in collaboration with Robert Wright.
-
B.
Richard Lumsden
Richard Lumsden is a British actor, writer, and composer known for his work in television, film, and theatre.
-
C.
William Robson
William Robson is a personal name shared by multiple notable individuals across fields such as politics, law, academia, and sports.
-
D.
William Weir
William Weir is a name shared by several notable figures, including politicians, engineers, and public servants from the United Kingdom.
-
E.
William Gillies
William Gillies is a name shared by several notable figures, including politicians and artists, whose specific identity depends on the historical and professional context.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829589548190863619aebcae026c |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.