Triple
T1280417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tupac Shakur |
E27310
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Game |
E65586
|
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: Game | Statement: [Tupac Shakur, influenced, Game]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Game Context triple: [Tupac Shakur, influenced, Game]
-
A.
Home Game
Home Game is a non-fiction book by former NHL goaltender and author Ken Dryden that reflects on the culture, meaning, and personal impact of hockey in Canada.
-
B.
MachineGames
MachineGames is a Swedish video game developer best known for revitalizing the Wolfenstein franchise with critically acclaimed first-person shooters.
-
C.
Platform
Platform is a competitive program at the Toronto International Film Festival that showcases bold, director-driven international cinema.
-
D.
The Game
chosen
The Game is an American rapper from Compton, California, known for his role in revitalizing West Coast hip hop in the mid-2000s and his association with Dr. Dre and G-Unit.
-
E.
The Game
The Game is a highly acclaimed memoir by former NHL goaltender Ken Dryden that offers an insightful, introspective look at professional hockey and life in the sport.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c094eb4881909a33061339f91190 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2fb746881909ac7a8dd672fc939 |
completed | March 7, 2026, 10:13 p.m. |
Created at: March 1, 2026, 7:50 p.m.