Triple
T15166414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Jones |
E362354
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Dope Body |
E73834
|
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: Dope Body | Statement: [John Jones, memberOf, Dope Body]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dope Body Context triple: [John Jones, memberOf, Dope Body]
-
A.
Dope Body
chosen
Dope Body is an American noise rock band from Baltimore known for its aggressive sound, experimental approach, and energetic live performances.
-
B.
"Body Do"
"Body Do" is an R&B song by American singer Chloe Bailey, featured on her debut solo album "In Pieces."
-
C.
The Magnificent Dope
The Magnificent Dope is a 1942 American comedy film starring Henry Fonda and Lynn Bari that satirizes self-improvement fads and the pursuit of success.
-
D.
Dope Money
Dope Money is a track from Nigerian rapper Olamide’s album "Baddest Guy Ever Liveth," showcasing his street-influenced hip-hop style and lyrical bravado.
-
E.
Get Me Bodied
"Get Me Bodied" is an upbeat R&B/dance song by Beyoncé known for its energetic choreography and party anthem 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e664b081909ef4b6a76976847f |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:08 a.m.