Triple
T19631700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Topographics |
E471286
|
entity |
| Predicate | numberOfOriginalPhotographers |
P136765
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [New Topographics, numberOfOriginalPhotographers, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOriginalPhotographers Context triple: [New Topographics, numberOfOriginalPhotographers, 10]
-
A.
notablePhotographer
Indicates that the subject is a photographer who is recognized as notable or significant in some context.
-
B.
isPhotographedWith
Indicates that two or more entities appear together in the same photograph or are captured jointly in an image.
-
C.
hasPhotographerNationality
Indicates that a photographer is associated with a specific nationality.
-
D.
collectedBy
Indicates that one entity has gathered, acquired, or assembled another entity, typically as part of a collection or data-gathering process.
-
E.
hasParentWhoIsPhotographer
Indicates that an entity has at least one parent whose profession or role is that of a photographer.
- F. None of above. chosen
Provenance (4 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641036ee881909fdd8170fe4cdac9 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.