Triple
T9614325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micron Technology |
E232180
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Doug Pitman
Doug Pitman is an American businessman best known as one of the founders of the semiconductor company Micron Technology.
|
E811076
|
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: Doug Pitman | Statement: [Micron Technology, foundedBy, Doug Pitman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Pitman Context triple: [Micron Technology, foundedBy, Doug Pitman]
-
A.
Steve Pugh
Steve Pugh is a British comic book artist best known for his work on titles such as Animal Man, Preacher, and Hotwire.
-
B.
Dan Mott
Dan Mott is a fictional character portrayed as a cautious, neurotic member of the central trio in the 2004 adventure comedy film "Without a Paddle."
-
C.
Ken Pile
Ken Pile is a stuttering, animal-loving hitman and one of the main comic characters in the British-American heist comedy film "A Fish Called Wanda."
-
D.
Phil Judd
Phil Judd is a New Zealand musician and songwriter best known as a founding member of Split Enz and later the new wave band The Swingers.
-
E.
Tony Denison
Tony Denison is an American actor best known for his role as Detective Andy Flynn on the crime dramas "The Closer" and its spin-off "Major Crimes."
- 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: Doug Pitman Triple: [Micron Technology, foundedBy, Doug Pitman]
Generated description
Doug Pitman is an American businessman best known as one of the founders of the semiconductor company Micron Technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doug Pitman Target entity description: Doug Pitman is an American businessman best known as one of the founders of the semiconductor company Micron Technology.
-
A.
Steve Pugh
Steve Pugh is a British comic book artist best known for his work on titles such as Animal Man, Preacher, and Hotwire.
-
B.
Dan Mott
Dan Mott is a fictional character portrayed as a cautious, neurotic member of the central trio in the 2004 adventure comedy film "Without a Paddle."
-
C.
Ken Pile
Ken Pile is a stuttering, animal-loving hitman and one of the main comic characters in the British-American heist comedy film "A Fish Called Wanda."
-
D.
Phil Judd
Phil Judd is a New Zealand musician and songwriter best known as a founding member of Split Enz and later the new wave band The Swingers.
-
E.
Tony Denison
Tony Denison is an American actor best known for his role as Detective Andy Flynn on the crime dramas "The Closer" and its spin-off "Major Crimes."
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaaa47881908d69381d4d11f49b |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17958287081908e337bdbe9ea366f |
completed | April 4, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69d17d9d69908190879b160968e41745 |
completed | April 4, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17e4c9e40819081367d2365bf5dd2 |
completed | April 4, 2026, 9:10 p.m. |
Created at: March 30, 2026, 8:09 p.m.