Triple
T38393277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Van Buren |
E899783
|
entity |
| Predicate | playwrightGenderOfWork |
P25113
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [Mrs. Van Buren, playwrightGenderOfWork, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playwrightGenderOfWork Context triple: [Mrs. Van Buren, playwrightGenderOfWork, female]
-
A.
hasAuthorGender
Indicates that an entity (such as a work or publication) is associated with an author of a specified gender.
-
B.
genreOfWorkHeWrites
Indicates that a person is an author who writes works belonging to a particular genre.
-
C.
creatorSexOrGender
chosen
Indicates that the specified sex or gender is the sex or gender of the creator of the referenced work or entity.
-
D.
genreOfWorkHeNarrates
Indicates the genre or type of work that he narrates.
-
E.
workProducedBy
Indicates that a particular work (such as a creation, product, or result) was created, generated, or authored by a specific agent or entity.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.