Triple
T11540645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call of Duty 2 |
E273664
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object |
Michael Boon
Michael Boon is an artist best known for his creative work on the video game Call of Duty 2.
|
E931550
|
NE FINISHED |
How this triple was built (4 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: Michael Boon | Statement: [Call of Duty 2, artist, Michael Boon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Boon Context triple: [Call of Duty 2, artist, Michael Boon]
-
A.
Michael Boone
Michael Boone is a relatively obscure individual whose name is notably recorded as a bearer of the surname Boone.
-
B.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
C.
Mike Bennion
Mike Bennion is a musician best known for having been an early member of the British progressive rock band Porcupine Tree.
-
D.
Mike Burrows
Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
-
E.
Michael Pelmont
Michael Pelmont is a television producer best known for serving as an executive producer on the NBC sitcom "Lopez vs Lopez."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michael Boon Triple: [Call of Duty 2, artist, Michael Boon]
Generated description
Michael Boon is an artist best known for his creative work on the video game Call of Duty 2.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Boon Target entity description: Michael Boon is an artist best known for his creative work on the video game Call of Duty 2.
-
A.
Michael Boone
Michael Boone is a relatively obscure individual whose name is notably recorded as a bearer of the surname Boone.
-
B.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
C.
Mike Bennion
Mike Bennion is a musician best known for having been an early member of the British progressive rock band Porcupine Tree.
-
D.
Mike Burrows
Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
-
E.
Michael Pelmont
Michael Pelmont is a television producer best known for serving as an executive producer on the NBC sitcom "Lopez vs Lopez."
- F. None of above. chosen
Provenance (5 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886deed5c81908e5c38156064f882 |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685ab77908190ac5d59cf2b8c96bf |
completed | April 20, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_69e68fd8210c8190a7b0bbd8a50ff6b1 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e69f12cfcc8190a06e0922c9faa49e |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:37 p.m.