Triple
T30470574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women (with Susan Sontag) |
E775280
|
entity |
| Predicate | hasBookForm |
P191584
|
FINISHED |
| Object | published volume of photographs and essays |
—
|
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: published volume of photographs and essays | Statement: [Women (with Susan Sontag), hasBookForm, published volume of photographs and essays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBookForm Context triple: [Women (with Susan Sontag), hasBookForm, published volume of photographs and essays]
-
A.
hasBook
Indicates that an entity possesses, owns, or is associated with a particular book.
-
B.
hasBookSetIn
Indicates that a book’s story takes place in, or is primarily set within, a particular location.
-
C.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
D.
hasThreeBooksWith
Indicates that two entities are related by one having exactly three books together with the other (e.g., jointly owned, shared, or associated as a group of three books).
-
E.
hadBusinessForm
Indicates that an entity possessed or utilized a particular business form or organizational structure in the context of its activities or operations.
- 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_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:11 p.m.