Triple
T13236365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come September |
E315155
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Hans J. Salter |
E419943
|
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: Hans J. Salter | Statement: [Come September, musicBy, Hans J. Salter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans J. Salter Context triple: [Come September, musicBy, Hans J. Salter]
-
A.
Hans J. Salter
chosen
Hans J. Salter was a prolific film composer best known for his atmospheric scores for Universal Pictures’ classic horror and science-fiction movies in the 1930s and 1940s.
-
B.
Harold Huth
Harold Huth was a British film director, producer, and occasional actor active in the mid-20th century, known for his work in the British studio system.
-
C.
Murray Millner
Murray Millner is an individual notable enough to be recognized as a bearer of the Millner surname.
-
D.
Erwin Hillier
Erwin Hillier was a German-born British cinematographer renowned for his work on classic mid-20th-century films, particularly in the British film industry.
-
E.
William Ashburner
William Ashburner was a 19th-century American mining engineer and geologist known for his work in mineral surveying and resource assessment in the western United States.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f17ba9081909929201be937c2cf |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:22 p.m.