Triple
T10005019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walls |
E198218
|
entity |
| Predicate | labelImprint |
P2763
|
FINISHED |
| Object | RCA |
E156372
|
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 | Statement: [Walls, labelImprint, RCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCA Context triple: [Walls, labelImprint, RCA]
-
A.
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.
-
B.
RCA
RCA is the international vehicle registration code for the Central African Republic.
-
C.
RCA Inspiration
RCA Inspiration is a music label imprint specializing in gospel and Christian music, operating under the larger RCA Records umbrella.
-
D.
RCA Victor
chosen
RCA Victor was a major American record label and phonograph company, historically significant for its role in the development and popularization of recorded music and audio technology.
-
E.
Harman
Harman is a given name and surname used in various cultures, often considered a variant of the name Hermann.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd157d9c8190b863e4264f9a48b1 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28209678c8190898d923753bb4472 |
completed | April 5, 2026, 3:38 p.m. |
Created at: March 30, 2026, 8:51 p.m.