Triple
T22536275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Change Clothes |
E557161
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Excuse Me Miss |
—
|
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: Excuse Me Miss | Statement: [Change Clothes, precededBy, Excuse Me Miss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Excuse Me Miss Context triple: [Change Clothes, precededBy, Excuse Me Miss]
-
A.
Excuse Me Miss
chosen
"Excuse Me Miss" is a smooth, R&B-influenced hip-hop single by Jay-Z featuring Pharrell Williams, known for its flirtatious lyrics and Neptunes-produced beat.
-
B.
Excuse Me
"Excuse Me" is a song by American R&B artist Raphael Saadiq from his debut solo album "Instant Vintage."
-
C.
Excuse Me Mr.
"Excuse Me Mr." is a ska-influenced rock song by American band No Doubt, released as a single from their breakthrough album "Tragic Kingdom."
-
D.
Pardon Me
"Pardon Me" is a popular alternative rock song by the American band Incubus, known for its introspective lyrics and fusion of rock, funk, and electronic elements.
-
E.
Yo (Excuse Me Miss)
"Yo (Excuse Me Miss)" is a 2006 R&B single by Chris Brown, co-written by Johntá Austin, that became one of Brown's early signature hits.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15edbd1ec81908ef26b9e442d1921 |
completed | April 29, 2026, 1:29 a.m. |
Created at: April 16, 2026, 8:51 p.m.