Triple
T13542523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buck Privates |
E323423
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Charles Previn |
E807511
|
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: Charles Previn | Statement: [Buck Privates, musicBy, Charles Previn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Previn Context triple: [Buck Privates, musicBy, Charles Previn]
-
A.
Charles Previn
chosen
Charles Previn was an American film composer and music director best known for his work on numerous Hollywood films during the 1930s and 1940s.
-
B.
André Previn
André Previn was a renowned German-American conductor, pianist, and composer celebrated for his work in both classical music and Hollywood film scores.
-
C.
Charles Munch
Charles Munch was a renowned 20th-century French conductor celebrated for his dynamic interpretations of French and German repertoire and his influential recordings with major orchestras.
-
D.
Erich Leinsdorf
Erich Leinsdorf was an Austrian-born American conductor renowned for his leadership of major orchestras and opera companies, particularly in the mid-20th century.
-
E.
Fletcher Previn
Fletcher Previn is an American technology executive best known for serving as Chief Information Officer at IBM and later at Cisco.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bae316081909e048ead31a9575a |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.