Triple
T2159080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangerously in Love |
E47959
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Baby Boy |
E240604
|
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: Baby Boy | Statement: [Dangerously in Love, single, Baby Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Boy Context triple: [Dangerously in Love, single, Baby Boy]
-
A.
Baby Boy
chosen
"Baby Boy" is a 2003 R&B and dancehall-influenced song by Beyoncé featuring Sean Paul, released as a single from her debut solo album "Dangerously in Love."
-
B.
American Boy
"American Boy" is a 2008 dance-pop and R&B hit single by British singer Estelle featuring Kanye West, known for its catchy hook and transatlantic romance theme.
-
C.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
-
D.
Grandma's Boy
"Grandma's Boy" is a 1922 silent comedy film starring Harold Lloyd, known for blending physical gags with a character-driven story about a timid young man finding his courage.
-
E.
Baby (single)
"Baby" is a 1994 R&B single by American singer Brandy, noted for its smooth groove and showcasing her distinctive youthful vocals.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe6a412c8190ae632282650739d9 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d962a2c8190be1e3ae48367abad |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:45 p.m.