Triple
T9614322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micron Technology |
E232180
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Ward Parkinson
Ward Parkinson is an American engineer and entrepreneur best known as a co-founder of the semiconductor company Micron Technology.
|
E811074
|
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: Ward Parkinson | Statement: [Micron Technology, foundedBy, Ward Parkinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ward Parkinson Context triple: [Micron Technology, foundedBy, Ward Parkinson]
-
A.
Kenneth W. Parkinson
Kenneth W. Parkinson is an American lawyer best known for being one of the defendants in the Watergate-related criminal case United States v. John N. Mitchell et al.
-
B.
Roger Ward
Roger Ward is an Australian actor best known for his role as the tough police officer Fifi Macaffee in the 1979 action film "Mad Max."
-
C.
Richard Sibson
Richard Sibson is a distinguished geologist recognized for his influential work on fault mechanics and earthquake processes.
-
D.
David Wardle
David Wardle is an illustrator and graphic designer known for creating book cover art, including the cover of Boris Johnson’s novel "Seventy-Two Virgins."
-
E.
Ian Ward
Ian Ward is a personal name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
- 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: Ward Parkinson Triple: [Micron Technology, foundedBy, Ward Parkinson]
Generated description
Ward Parkinson is an American engineer and entrepreneur best known as a co-founder of the semiconductor company Micron Technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ward Parkinson Target entity description: Ward Parkinson is an American engineer and entrepreneur best known as a co-founder of the semiconductor company Micron Technology.
-
A.
Kenneth W. Parkinson
Kenneth W. Parkinson is an American lawyer best known for being one of the defendants in the Watergate-related criminal case United States v. John N. Mitchell et al.
-
B.
Roger Ward
Roger Ward is an Australian actor best known for his role as the tough police officer Fifi Macaffee in the 1979 action film "Mad Max."
-
C.
Richard Sibson
Richard Sibson is a distinguished geologist recognized for his influential work on fault mechanics and earthquake processes.
-
D.
David Wardle
David Wardle is an illustrator and graphic designer known for creating book cover art, including the cover of Boris Johnson’s novel "Seventy-Two Virgins."
-
E.
Ian Ward
Ian Ward is a personal name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
- 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.