Triple
T2377673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1945 Pulitzer Prize for Photography |
E46234
|
entity |
| Predicate | recognizesPhotographerRole |
P23182
|
FINISHED |
| Object | Associated Press photographer |
—
|
LITERAL 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: Associated Press photographer | Statement: [1945 Pulitzer Prize for Photography, recognizesPhotographerRole, Associated Press photographer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizesPhotographerRole Context triple: [1945 Pulitzer Prize for Photography, recognizesPhotographerRole, Associated Press photographer]
-
A.
photographer
Indicates that one entity takes photographs of another entity, typically in a professional or intentional capacity.
-
B.
notablePhotographer
Indicates that the subject is a photographer who is recognized as notable or significant in some context.
-
C.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
D.
hasParentWhoIsPhotographer
Indicates that an entity has at least one parent whose profession or role is that of a photographer.
-
E.
recognizesProfession
chosen
Indicates that one entity acknowledges or identifies another entity’s professional role or occupation as such.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.