Triple
T10240646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalie Desselle |
E243579
|
entity |
| Predicate | portrayedIn |
P626
|
FINISHED |
| Object | B.A.P.S. |
E853456
|
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: B.A.P.S. | Statement: [Natalie Desselle, portrayedIn, B.A.P.S.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B.A.P.S. Context triple: [Natalie Desselle, portrayedIn, B.A.P.S.]
-
A.
B.A.P.S.
chosen
B.A.P.S. is a 1997 American comedy film about two Georgia waitresses who travel to Los Angeles with dreams of wealth and glamour, starring Halle Berry and Natalie Desselle.
-
B.
106 & Park
106 & Park was a popular BET music video countdown and variety show that became a major platform for hip-hop and R&B artists in the 2000s and early 2010s.
-
C.
Bloc B
Bloc B is one of the main buildings within the Résidence Palace complex in Brussels, housing key European Union institutional facilities.
-
D.
B2 Entertainment
B2 Entertainment is a television production company known for producing reality programming, including the series "Being Bobby Brown."
-
E.
Bum Bum
"Bum Bum" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its danceable rhythm and energetic, party-themed vibe.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21e27f08190b956d351a75c7c52 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71ca702d48190adc39b85c0fe6334 |
completed | April 9, 2026, 3:27 a.m. |
Created at: April 6, 2026, 11:24 a.m.