Triple
T17306409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandre Amancio |
E420174
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Ubisoft Montreal |
—
|
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: Ubisoft Montreal | Statement: [Alexandre Amancio, collaboratedWith, Ubisoft Montreal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubisoft Montreal Context triple: [Alexandre Amancio, collaboratedWith, Ubisoft Montreal]
-
A.
Ubisoft Montreal
chosen
Ubisoft Montreal is a major Canadian video game development studio known for creating flagship franchises such as Assassin’s Creed and Far Cry.
-
B.
Ubisoft Toronto
Ubisoft Toronto is a Canadian video game development studio known for working on major Ubisoft franchises such as Splinter Cell and Far Cry.
-
C.
Ubisoft Quebec
Ubisoft Quebec is a Canadian video game development studio known for creating major titles in the Assassin’s Creed franchise.
-
D.
Ubisoft Paris
Ubisoft Paris is a French video game development studio known for working on major Ubisoft franchises such as Just Dance and Tom Clancy’s Ghost Recon.
-
E.
Ubisoft Berlin
Ubisoft Berlin is a German game development studio within the Ubisoft group, contributing to major AAA titles as part of the company’s global production network.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e438ff3ee08190ab4c44a22f86b38b |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:43 a.m.