Triple
T25637061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Boone |
E642730
|
entity |
| Predicate | operatedGalleryIn |
P180690
|
FINISHED |
| Object | SoHo, Manhattan |
—
|
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: SoHo, Manhattan | Statement: [Mary Boone, operatedGalleryIn, SoHo, Manhattan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedGalleryIn Context triple: [Mary Boone, operatedGalleryIn, SoHo, Manhattan]
-
A.
exhibitionGalleries
Indicates that an exhibition is displayed or hosted in one or more specific galleries.
-
B.
operatesMuseum
Indicates that one entity manages and runs the day-to-day operations of a museum.
-
C.
openedGallery
Indicates that an entity has initiated and made accessible a gallery, such as an exhibition or collection, for viewing or use.
-
D.
exhibitedBy
Indicates that something (such as a quality, behavior, or characteristic) is shown, displayed, or demonstrated by a particular entity.
-
E.
gallerySpace
Indicates that one entity serves as a gallery or exhibition space for displaying the other entity.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
| PDg | Predicate description generation | batch_69f74c6fa6548190b03935f65429a24e |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 21, 2026, 5:33 p.m.