Triple
T10512417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flying High |
E247947
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Ray Henderson |
E216707
|
NE FINISHED |
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: Ray Henderson | Statement: [Flying High, musicBy, Ray Henderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Henderson Context triple: [Flying High, musicBy, Ray Henderson]
-
A.
Ray Henderson
chosen
Ray Henderson was a prominent American songwriter and composer of popular music and Broadway tunes during the 1920s and 1930s.
-
B.
Alan Norton
Alan Norton is a computer graphics researcher recognized for his influential contributions to the field, honored with the prestigious Steven A. Coons Award.
-
C.
Roger Neill
Roger Neill is an American composer best known for his film and television scores, including his work on the acclaimed drama "20th Century Women."
-
D.
Clive Russell
Clive Russell is a Scottish character actor known for his work in film and television, including roles in productions such as "Game of Thrones," "Sherlock Holmes," and numerous British dramas.
-
E.
Ken Darby
Ken Darby was an American composer, vocal arranger, and conductor known for his work on numerous Hollywood film scores and for winning multiple Academy Awards for his contributions to cinema music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b5fcb8819087a23a2b26aecd70 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcf65f808190993dbacde2df20eb |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 6, 2026, 12:27 p.m.