Triple
T3345830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Macintosh team |
E70371
|
entity |
| Predicate | keyMember |
P44793
|
FINISHED |
| Object |
Susan Kare
Susan Kare is a pioneering graphic designer best known for creating many of the original icons, typefaces, and interface elements for the early Apple Macintosh.
|
E350341
|
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: Susan Kare | Statement: [Apple Macintosh team, keyMember, Susan Kare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Kare Context triple: [Apple Macintosh team, keyMember, Susan Kare]
-
A.
Victor Kilian
Victor Kilian was an American character actor known for his prolific work in film and television from the 1920s through the 1970s.
-
B.
Chip Kidd
Chip Kidd is an acclaimed American graphic designer and author best known for his influential and inventive book cover designs.
-
C.
Mark Nielsen
Mark Nielsen is a film producer best known for his work on Pixar's animated feature "Toy Story 4."
-
D.
Vaughan Glaser
Vaughan Glaser was an American character actor known for his supporting roles in stage and early 20th-century films.
-
E.
Paul Rand
Paul Rand was a pioneering American graphic designer renowned for creating iconic corporate logos and shaping modern visual identity design.
- 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: Susan Kare Triple: [Apple Macintosh team, keyMember, Susan Kare]
Generated description
Susan Kare is a pioneering graphic designer best known for creating many of the original icons, typefaces, and interface elements for the early Apple Macintosh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Kare Target entity description: Susan Kare is a pioneering graphic designer best known for creating many of the original icons, typefaces, and interface elements for the early Apple Macintosh.
-
A.
Victor Kilian
Victor Kilian was an American character actor known for his prolific work in film and television from the 1920s through the 1970s.
-
B.
Chip Kidd
Chip Kidd is an acclaimed American graphic designer and author best known for his influential and inventive book cover designs.
-
C.
Mark Nielsen
Mark Nielsen is a film producer best known for his work on Pixar's animated feature "Toy Story 4."
-
D.
Vaughan Glaser
Vaughan Glaser was an American character actor known for his supporting roles in stage and early 20th-century films.
-
E.
Paul Rand
Paul Rand was a pioneering American graphic designer renowned for creating iconic corporate logos and shaping modern visual identity design.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f36c74819093ef2c74a46c2351 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32522cbc88190b965087a580d7acf |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b325a0de7c8190a33ae611b8450b5a |
completed | March 12, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b326862e848190bf1bea74b6ab0b36 |
completed | March 12, 2026, 8:48 p.m. |
Created at: March 8, 2026, 3:12 p.m.