Triple
T5071847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women I've Undressed |
E114298
|
entity |
| Predicate | workTitleIncludes |
P3254
|
FINISHED |
| Object | Women |
—
|
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: Women | Statement: [Women I've Undressed, workTitleIncludes, Women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTitleIncludes Context triple: [Women I've Undressed, workTitleIncludes, Women]
-
A.
workTitle
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
-
B.
workIncludes
Indicates that a work (such as a project, document, or creative piece) contains or incorporates another specified component, part, or element.
-
C.
titleOrRole
Indicates that one entity serves as the title, position, or role held or described by another entity.
-
D.
workCollectionTitle
Indicates the title assigned to a collection of works associated with an entity.
-
E.
containsTitle
chosen
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74ce140881909a2874663244c0db |
completed | March 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.