Triple
T21816287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Smile |
E538612
|
entity |
| Predicate | labelCatalogNumber |
P8090
|
FINISHED |
| Object | RCA PB-10490 |
—
|
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 PB-10490 | Statement: [Sara Smile, labelCatalogNumber, RCA PB-10490]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCA PB-10490 Context triple: [Sara Smile, labelCatalogNumber, RCA PB-10490]
-
A.
RCA
RCA is the international vehicle registration code for the Central African Republic.
-
B.
RCA
RCA is the National Rail station code for Risca and Pontymister railway station in Wales.
-
C.
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.
-
D.
RCA
RCA is the commonly used abbreviation for the Royal Canadian Artillery, the artillery branch of the Canadian Army.
-
E.
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.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07ccac9f08190b835ee7a40ecf4c2 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:54 p.m.