Triple
T13563601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Bunting |
E323974
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Treyarch |
E52872
|
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: Treyarch | Statement: [Dan Bunting, employer, Treyarch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treyarch Context triple: [Dan Bunting, employer, Treyarch]
-
A.
Treyarch
chosen
Treyarch is a video game development studio best known for creating several installments in the Call of Duty franchise.
-
B.
Infinity Ward
Infinity Ward is an American video game developer best known as the original creator of the Call of Duty franchise.
-
C.
Respawn Entertainment
Respawn Entertainment is an American video game development studio best known for creating the Titanfall series, Apex Legends, and Star Wars Jedi action-adventure games.
-
D.
Ensemble Studios
Ensemble Studios was an American video game development company best known for creating the influential real-time strategy franchise Age of Empires.
-
E.
Bungie
Bungie is an American video game developer best known for creating the Halo and Destiny franchises.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00bbe848190bb33efe2af528295 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75daf1bfc8190bf22eb9ef242f54f |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.