Triple
T10245405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pon de Floor |
E240199
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Switch |
E240194
|
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: Switch | Statement: [Pon de Floor, producer, Switch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Switch Context triple: [Pon de Floor, producer, Switch]
-
A.
Switch
Switch is a 1991 fantasy-comedy film in which a chauvinistic man is reincarnated as a woman and must confront sexism and his past behavior.
-
B.
Switch
chosen
Switch is a British DJ and record producer known for his influential work in electronic and pop music, including collaborations with major artists like Beyoncé and M.I.A.
-
C.
SWITCH
SWITCH is the Swiss national research and education network organization that provides internet infrastructure, security, and related digital services for Swiss universities and the .ch domain.
-
D.
Shadow
"Shadow" is a pop-rock song by Ashlee Simpson that explores themes of identity and living in the shadow of a more famous sibling.
-
E.
Shadow
"Shadow" is a song featured on the soundtrack of the 2013 film *In the Zone*.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22be0208190b671a4e3f81d11b8 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f79c20e08190928d061b3d4b4e47 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:26 a.m.