Triple
T20573145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEGO video games |
E505151
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | TT Games |
—
|
NE NERFINISHED |
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: TT Games | Statement: [LEGO video games, developer, TT Games]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TT Games Context triple: [LEGO video games, developer, TT Games]
-
A.
TT Games
chosen
TT Games is a British video game developer best known for creating the popular series of LEGO-themed action-adventure games.
-
B.
Torch Games
Torch Games is a built-in casual gaming platform within the Torch web browser that lets users play games directly from the browser interface.
-
C.
Typhoon Studios
Typhoon Studios was a Canadian video game development company best known for creating the colorful sci-fi adventure game "Journey to the Savage Planet."
-
D.
SJ Games
SJ Games is a tabletop game publisher best known for producing titles like GURPS, Munchkin, and various strategy and role-playing games.
-
E.
Toie
Toie is a given name, often used as a short or informal form of the name Toie Roberts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a906f0508190ac698233738f4452 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.