Triple
T11434078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Messiah of Might and Magic |
E270959
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Ubisoft |
E389699
|
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: Ubisoft | Statement: [Dark Messiah of Might and Magic, publisher, Ubisoft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubisoft Context triple: [Dark Messiah of Might and Magic, publisher, Ubisoft]
-
A.
Ubisoft
chosen
Ubisoft is a major French video game company known for creating and publishing popular franchises such as Assassin’s Creed, Far Cry, and Tom Clancy’s series.
-
B.
Ubisoft Montreal
Ubisoft Montreal is a major Canadian video game development studio known for creating flagship franchises such as Assassin’s Creed and Far Cry.
-
C.
Take-Two Interactive
Take-Two Interactive is a major American video game publisher known for franchises like Grand Theft Auto, Red Dead Redemption, and NBA 2K.
-
D.
Bethesda Softworks
Bethesda Softworks is a prominent American video game publisher and developer best known for franchises like The Elder Scrolls and Fallout.
-
E.
Electronic Arts
Electronic Arts is a major American video game company best known for publishing popular franchises such as FIFA, Madden NFL, Battlefield, and The Sims.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c485f481909dd3d9b0993f3faf |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d379f8d48190860a1ef98505c42e |
completed | April 20, 2026, 7:19 a.m. |
Created at: April 8, 2026, 9:35 p.m.