Triple
T23371351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Tyme |
E593482
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Somebody for Me |
E593487
|
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: Somebody for Me | Statement: [Big Tyme, hasPart, Somebody for Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somebody for Me Context triple: [Big Tyme, hasPart, Somebody for Me]
-
A.
Somebody for Me
chosen
"Somebody for Me" is a late-1980s hip-hop/R&B single by Heavy D & the Boyz known for its smooth, upbeat production and romantic lyrics.
-
B.
Somebody Loves Me
"Somebody Loves Me" is a 1952 musical biographical film starring Betty Hutton as vaudeville and Broadway star Blossom Seeley.
-
C.
Somebody's Me
"Somebody's Me" is a pop ballad by Enrique Iglesias, featured on his 2007 album "Insomniac" and known for its heartfelt lyrics about unrequited love and longing.
-
D.
Someone for Me
"Someone for Me" is a song best known as the B-side to the single "Thinking About You."
-
E.
Looking for Somebody
"Looking for Somebody" is a blues-rock track by guitarist Gary Moore from his Peter Green tribute album "Blues for Greeny."
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0b0bdc081908c7852c026ca7ff7 |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5ddde5608190acd427c4b8740733 |
completed | May 19, 2026, 12:55 p.m. |
Created at: April 17, 2026, 5:32 p.m.