Triple
T13322237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beware of Dog |
E317341
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bounce with Me |
E1032218
|
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: Bounce with Me | Statement: [Beware of Dog, hasPart, Bounce with Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bounce with Me Context triple: [Beware of Dog, hasPart, Bounce with Me]
-
A.
Bounce with Me
chosen
"Bounce with Me" is an early-2000s hip hop single by rapper Bow Wow that helped launch his career as a child star in mainstream rap.
-
B.
Bounce
"Bounce" is a track from the collaborative hip-hop album "ColleGrove" by 2 Chainz and Lil Wayne.
-
C.
Bounce
"Bounce" is a 2002 hard rock album by Bon Jovi that reflects themes of resilience and renewal, influenced in part by the aftermath of the September 11 attacks.
-
D.
Bounce
Bounce is a musical release by the artist Crush, known for its smooth R&B style and emotive vocal delivery.
-
E.
Bounce
"Bounce" is a song best known as a single by the artist Woman of Steel, accompanied by an official music video.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992ab83c8190982d9f54dff6919f |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2a8ba88190a59bc4840ec8ad13 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:30 p.m.