Triple
T11532421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Self-Portrait as Your Traitor |
E273455
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Debbie Millman |
E52078
|
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: Debbie Millman | Statement: [Self-Portrait as Your Traitor, creator, Debbie Millman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debbie Millman Context triple: [Self-Portrait as Your Traitor, creator, Debbie Millman]
-
A.
Debbie Millman
chosen
Debbie Millman is an American designer, author, educator, and host of the long-running podcast "Design Matters," recognized as a pioneering voice in contemporary design and branding.
-
B.
Milton Glaser
Milton Glaser was an influential American graphic designer best known for iconic works such as the “I ❤ NY” logo and the psychedelic Bob Dylan poster.
-
C.
Chip Kidd
Chip Kidd is an acclaimed American graphic designer and author best known for his influential and inventive book cover designs.
-
D.
Paul Rand
Paul Rand was a pioneering American graphic designer renowned for creating iconic corporate logos and shaping modern visual identity design.
-
E.
Christopher Berner
Christopher Berner is a researcher and engineer known for his work at OpenAI on large-scale machine learning and language models.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839a2c7081909c285d1f6beb971c |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f28076f52881908e4438f623af2749 |
completed | April 29, 2026, 10:04 p.m. |
Created at: April 8, 2026, 9:37 p.m.