Triple
T15355859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lego Marvel Super Heroes |
E367167
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | TT Games |
E504599
|
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: TT Games | Statement: [Lego Marvel Super Heroes, developer, TT Games]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TT Games Context triple: [Lego Marvel Super Heroes, 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.
Titan Entertainment Group
Titan Entertainment Group is a British media company best known for publishing comics, graphic novels, and related pop culture content through its Titan Comics imprint.
-
D.
Vivendi Games
Vivendi Games was a French video game publisher and holding company that owned studios like Blizzard Entertainment before merging with Activision to form Activision Blizzard.
-
E.
Midway Games
Midway Games was an American video game company best known for publishing and developing popular arcade and console titles such as the Mortal Kombat series.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff02012fa48190a108f1ca710ffb15 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:18 a.m.