Triple
T136573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCA |
E2759
|
entity |
| Predicate | ownedBrand |
P1500
|
FINISHED |
| Object | RCA Victor |
E6618
|
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: RCA Victor | Statement: [RCA, ownedBrand, RCA Victor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCA Victor Context triple: [RCA, ownedBrand, RCA Victor]
-
A.
RCA Records
chosen
RCA Records is a major American record label, historically influential in popular music and home to numerous iconic artists across genres.
-
B.
RCA
RCA (Radio Corporation of America) was a major American electronics and communications company that played a pivotal role in the development and commercialization of radio and television technology in the 20th century.
-
C.
Arista Records
Arista Records is a major American record label known for signing and promoting numerous successful artists across pop, R&B, and rock music.
-
D.
Columbia Records
Columbia Records is a major American record label, one of the oldest in the world, known for signing and releasing music by many influential and commercially successful artists across diverse genres.
-
E.
Computing-Tabulating-Recording Company
Computing-Tabulating-Recording Company was the early 20th-century American business machines firm that later evolved into IBM, a global leader in computing technology.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a4edf081908c494c8370c76b9a |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2bf67902c8190b4e88c70d25439e8 |
completed | Feb. 28, 2026, 10:11 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.