Triple
T13599878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onika Tanya Maraj |
E324915
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Bang Bang |
E359288
|
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: Bang Bang | Statement: [Onika Tanya Maraj, notableCollaboration, Bang Bang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bang Bang Context triple: [Onika Tanya Maraj, notableCollaboration, Bang Bang]
-
A.
Bang Bang
chosen
"Bang Bang" is a 2014 pop/R&B hit single by Jessie J, Ariana Grande, and Nicki Minaj known for its powerful vocals and energetic, brass-driven production.
-
B.
Bang Bang
"Bang Bang" is a politically charged punk rock song by Green Day from their album "Revolution Radio."
-
C.
Bang Bang
Bang Bang is a 2014 Indian action-comedy film starring Hrithik Roshan and Katrina Kaif, known for its high-octane stunts and being an official remake of the Hollywood movie "Knight and Day."
-
D.
Bang Bang
"Bang Bang" is a work associated with Stephen Bloom, likely a creative project such as a film, book, or television production in which he was significantly involved.
-
E.
Bang Bang
Bang Bang is a character known as the older brother of Bloom in their shared fictional universe.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bcc1ed88190bbf6c83001703b84 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.