Triple
T9246342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence Ballard |
E222203
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Come See About Me |
E293114
|
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: Come See About Me | Statement: [Florence Ballard, notableSong, Come See About Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Come See About Me Context triple: [Florence Ballard, notableSong, 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.
When You See Me
"When You See Me" is a crime thriller novel by Lisa Gardner that follows FBI profiler Kimberly Quincy and survivor-turned-vigilante Flora Dane as they uncover dark secrets tied to a serial killer’s past.
-
E.
The More I See You
"The More I See You" is a popular romantic song from the 1940s, widely recorded by jazz and pop artists and known for its enduring status as a Great American Songbook standard.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd03f181e081908d9ff7dc6f86420e |
completed | April 1, 2026, 11:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077f79cfc81908bae290aa25cf2a1 |
completed | April 4, 2026, 2:31 a.m. |
Created at: March 30, 2026, 7:30 p.m.