Triple
T718155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Rand |
E14355
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paul Rand |
E14355
|
NE FINISHED |
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: Paul Rand | Statement: [Paul Rand, name, Paul Rand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Rand Context triple: [Paul Rand, name, Paul Rand]
-
A.
Paul Rand
chosen
Paul Rand was a pioneering American graphic designer renowned for creating iconic corporate logos and shaping modern visual identity design.
-
B.
Wallace Miller
Wallace Miller was a local school district official involved in the landmark U.S. Supreme Court case Wisconsin v. Yoder concerning compulsory education and religious freedom.
-
C.
Herbert Bayer
Herbert Bayer was an Austrian-American graphic designer, painter, photographer, and influential Bauhaus teacher known for pioneering modernist typography and visual communication.
-
D.
Raymond Loewy
Raymond Loewy was a pioneering industrial designer known for shaping the look of 20th-century consumer products and transportation, including iconic trains, cars, and corporate logos.
-
E.
Peter Chermayeff
Peter Chermayeff is an American architect renowned for designing major public aquariums around the world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a5a7e788190b5ad2505b68ca48d |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:37 p.m.