Triple
T22273045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faizon Love |
E550526
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bebe's Kids |
—
|
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: Bebe's Kids | Statement: [Faizon Love, notableWork, Bebe's Kids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bebe's Kids Context triple: [Faizon Love, notableWork, Bebe's Kids]
-
A.
Bebe (album)
Bebe (album) is the third studio album by American singer-songwriter Bebe Rexha, showcasing her pop and dance-pop sound with personal and introspective themes.
-
B.
My Bebe
"My Bebe" is a popular Afrobeats song by Nigerian singer Omah Lay, known for its smooth melodies and romantic lyrics.
-
C.
Bébé's Kids
chosen
Bébé's Kids is a 1992 animated comedy film based on comedian Robin Harris's stand-up routine, notable for being one of the first mainstream animated features to center on African American characters and urban culture.
-
D.
Bebe
"Bebe" is a 2018 reggaeton and Latin trap single by 6ix9ine featuring Puerto Rican rapper Anuel AA.
-
E.
Bebe
Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.