Triple
T14178181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beerbongs & Bentleys |
E351384
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rockstar |
E351377
|
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: Rockstar | Statement: [Beerbongs & Bentleys, hasPart, Rockstar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rockstar Context triple: [Beerbongs & Bentleys, hasPart, Rockstar]
-
A.
Rockstar
chosen
"Rockstar" is a 2017 trap-influenced hip hop single by Post Malone featuring 21 Savage that became a global hit and one of his signature songs.
-
B.
Rockstar
Rockstar is a 2011 Indian musical romantic drama film renowned for its acclaimed A. R. Rahman soundtrack and Ranbir Kapoor’s intense lead performance.
-
C.
Rockstar
Rockstar is a popular energy drink brand known for its high-caffeine beverages marketed toward active and extreme-sports-oriented consumers.
-
D.
Rockstar Games
Rockstar Games is a prominent video game developer and publisher best known for creating the Grand Theft Auto and Red Dead Redemption series.
-
E.
Rockstar San Diego
Rockstar San Diego is a video game development studio best known for creating the Red Dead series and contributing to other major Rockstar titles.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c90abc8190a9b9dc1f50db59fa |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19413bd08190930767abc2c588d4 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:02 a.m.