Triple
T22389866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fool Again |
E553484
|
entity |
| Predicate | labelImprint |
P2763
|
FINISHED |
| Object | RCA |
—
|
NE NERFINISHED |
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: [Fool Again, labelImprint, RCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCA Context triple: [Fool Again, 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
chosen
RCA is a major American record label known for signing and promoting a wide range of influential artists across genres such as pop, rock, and R&B.
-
D.
RCA
RCA is the National Rail station code for Risca and Pontymister railway station in Wales.
-
E.
RCA
RCA is a national institution in Canada that recognizes and promotes excellence in the visual arts through its elected membership of distinguished artists and designers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.