Triple
T13802000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockstar Games |
E331663
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Rockstar North |
E917639
|
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 North | Statement: [Rockstar Games, brand, Rockstar North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rockstar North Context triple: [Rockstar Games, brand, Rockstar North]
-
A.
Rockstar North
chosen
Rockstar North is a renowned Scottish video game development studio best known for creating the Grand Theft Auto series.
-
B.
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.
-
C.
Avalon Studios
Avalon Studios is a prominent New Zealand film and television production facility known for its soundstages and post-production services.
-
D.
Rocksteady Studios
Rocksteady Studios is a British video game developer best known for creating the critically acclaimed Batman: Arkham series.
-
E.
Rockstar
Rockstar is a popular energy drink brand known for its high-caffeine beverages marketed toward active and extreme-sports-oriented consumers.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8da594c81908cb878a8cc1b3a72 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:12 p.m.