Triple
T31125142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Animals |
E793334
|
entity |
| Predicate | hasPhotographicSeriesBy |
P38499
|
FINISHED |
| Object | Garry Winogrand |
—
|
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: Garry Winogrand | Statement: [The Animals, hasPhotographicSeriesBy, Garry Winogrand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotographicSeriesBy Context triple: [The Animals, hasPhotographicSeriesBy, Garry Winogrand]
-
A.
hasPhotographicSeries
chosen
Indicates that one entity is associated with, or is the subject of, a specific photographic series created or maintained by another entity.
-
B.
hasPhotographicCollectionAt
Indicates that an entity maintains or possesses a photographic collection located at a specified place or institution.
-
C.
hasPortraitSeries
Indicates that an entity is part of, or associated with, a specific series or collection of portrait images.
-
D.
hasPhotographedFor
Indicates that one entity has taken photographs on behalf of, or as a service for, another entity.
-
E.
hasPhotographBy
Indicates that an entity is depicted in or associated with a photograph that was created or taken by a specified photographer.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 29, 2026, 9:05 p.m.