Triple
T11563468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvanas Windrunner |
E274197
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Chris Metzen |
E921562
|
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: Chris Metzen | Statement: [Sylvanas Windrunner, createdBy, Chris Metzen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Metzen Context triple: [Sylvanas Windrunner, createdBy, Chris Metzen]
-
A.
Chris Metzen
chosen
Chris Metzen is an American game designer, writer, and voice actor best known for shaping the lore and universes of Blizzard Entertainment franchises such as Warcraft, StarCraft, and Diablo.
-
B.
Chris Avellone
Chris Avellone is an American video game designer and writer best known for his work on critically acclaimed role-playing games such as Planescape: Torment and the Fallout series.
-
C.
Richard Devine
Richard Devine is an American electronic musician and sound designer known for his complex, experimental compositions and work in film, games, and technology.
-
D.
Chris Mundy
Chris Mundy is a television writer and producer best known as the showrunner of the crime drama series "Ozark."
-
E.
Brian Reynolds
Brian Reynolds is a technology entrepreneur best known as a founder of the enterprise software company Micro Focus.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd2016481909b33848af3d1d6c1 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e89e73b481908175576f4ec8d39a |
completed | April 21, 2026, 3:01 a.m. |
Created at: April 8, 2026, 9:37 p.m.