Triple
T20882097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doe Avedon |
E514176
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Doe Avedon |
—
|
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: Doe Avedon | Statement: [Doe Avedon, name, Doe Avedon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doe Avedon Context triple: [Doe Avedon, name, Doe Avedon]
-
A.
Doe Avedon
chosen
Doe Avedon was an American model and film and television actress active in the mid-20th century.
-
B.
Avedon
Avedon is a music producer known for his work on contemporary pop and R&B projects, including contributions to Doja Cat’s album "Planet Her."
-
C.
Richard Avedon
Richard Avedon was a pioneering American fashion and portrait photographer renowned for his innovative, emotionally expressive images that helped redefine modern magazine photography.
-
D.
Barbara Avedon
Barbara Avedon was an American television writer and producer best known for co-creating the groundbreaking feminist police drama series "Cagney & Lacey."
-
E.
Irving Penn
Irving Penn was a renowned American photographer celebrated for his elegant fashion images, still lifes, and portraiture for magazines such as Vogue.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67a33548190b0f5ba58b001d387 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:46 p.m.