Triple
T28105773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shot Turquoise Marilyn |
E710357
|
entity |
| Predicate | basedOnPhotographer |
P85016
|
FINISHED |
| Object | Gene Korman |
—
|
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: Gene Korman | Statement: [Shot Turquoise Marilyn, basedOnPhotographer, Gene Korman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnPhotographer Context triple: [Shot Turquoise Marilyn, basedOnPhotographer, Gene Korman]
-
A.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
B.
usesPhotographyFrom
chosen
Indicates that one entity employs or incorporates photographic material originating from another entity.
-
C.
photographer
Indicates that one entity takes photographs of another entity, typically in a professional or intentional capacity.
-
D.
hasPhotographerNationality
Indicates that a photographer is associated with a specific nationality.
-
E.
basedOnDesignBy
Indicates that something is created, developed, or structured according to the design conceived or produced by a specified entity.
- F. None of above.
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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 27, 2026, 9:08 p.m.