Triple
T21723522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let's Get Ready |
E536219
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Come See About Me |
—
|
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: Come See About Me | Statement: [Let's Get Ready, hasPart, Come See About Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Come See About Me Context triple: [Let's Get Ready, hasPart, Come See About Me]
-
A.
Come See About Me
chosen
"Come See About Me" is a 1964 Motown hit single by The Supremes, known for its catchy melody, emotional lyrics, and success on the Billboard Hot 100 chart.
-
B.
Come See Me
"Come See Me" is a song best known as a 2016 R&B/hip-hop single by Canadian duo PARTYNEXTDOOR featuring Drake.
-
C.
Come N See Me
"Come N See Me" is a hip hop track by American rapper Ludacris from his album "Ludaversal."
-
D.
You See Me
"You See Me" is a song by the American indie rock band Camp.
-
E.
See Me
See Me is a romantic drama novel by Nicholas Sparks that follows the intertwined lives of a reformed troublemaker and an ambitious lawyer whose rekindled connection is threatened by a dangerous secret from the past.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.