Triple
T19756074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James J. Gibson |
E474502
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Don Norman |
—
|
NE NERFINISHED |
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: Don Norman | Statement: [James J. Gibson, influenced, Don Norman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Norman Context triple: [James J. Gibson, influenced, Don Norman]
-
A.
Donald A. Norman
chosen
Donald A. Norman is a cognitive scientist and design theorist best known for his influential work on user-centered design and the psychology of everyday objects.
-
B.
Ben Shneiderman
Ben Shneiderman is a pioneering computer scientist and human-computer interaction researcher known for foundational work on user interface design and information visualization.
-
C.
Jakob Nielsen
Jakob Nielsen is a Danish web usability consultant and human–computer interaction researcher, widely known for pioneering usability heuristics and co-founding the Nielsen Norman Group.
-
D.
Bill Buxton
Bill Buxton is a pioneering computer scientist and designer known for his influential work in human-computer interaction, input technologies, and user experience design.
-
E.
Brian Leveson
Brian Leveson is a British judge best known for leading the public inquiry into the culture, practices, and ethics of the UK press following the phone-hacking scandal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6531afcbc8190bd5364700008f6d8 |
completed | April 20, 2026, 4:23 p.m. |
Created at: April 10, 2026, 1:48 p.m.