Triple
T20410535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whatever Gets You Through the Day |
E500575
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Run (single version) |
—
|
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: Run (single version) | Statement: [Whatever Gets You Through the Day, hasPart, Run (single version)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Run (single version) Context triple: [Whatever Gets You Through the Day, hasPart, Run (single version)]
-
A.
RUN
RUN is the IATA airport code for Roland Garros Airport on Réunion Island in the Indian Ocean.
-
B.
RUN
RUN is the National Rail station code assigned to Runcorn railway station in Cheshire, England.
-
C.
"Run"
chosen
"Run" is a track by Ghostface Killah featured on his 2004 studio release The Pretty Toney Album.
-
D.
runit
runit is a cross-platform init and service supervision system designed for fast booting and reliable process management on Unix-like operating systems.
-
E.
Run Run
"Run Run" is a dancehall track by Jamaican artist Shenseea that showcases her energetic style and genre-blending approach to contemporary Caribbean music.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.