Triple
T30470573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women (with Susan Sontag) |
E775280
|
entity |
| Predicate | hasExhibitionForm |
P180342
|
FINISHED |
| Object | gallery exhibition |
—
|
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: gallery exhibition | Statement: [Women (with Susan Sontag), hasExhibitionForm, gallery exhibition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitionForm Context triple: [Women (with Susan Sontag), hasExhibitionForm, gallery exhibition]
-
A.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
B.
hasExhibitionFunction
Indicates that an entity serves the role or purpose of exhibiting, displaying, or presenting something (e.g., objects, works, or information).
-
C.
hasExhibitionModel
Indicates that one entity serves as the exhibition or display model associated with another entity.
-
D.
hasExhibitionScope
Indicates the thematic, geographic, temporal, or conceptual range and boundaries that define what an exhibition covers.
-
E.
hasExhibitionRole
Indicates that an entity holds a specific role or function within the context of an exhibition.
- 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: April 29, 2026, 8:11 p.m.