Triple
T22972341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Testament and Other Poems |
E571220
|
entity |
| Predicate | hasCreatorOccupationOfAuthor |
P13413
|
FINISHED |
| Object | civil rights activist |
—
|
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: civil rights activist | Statement: [Dark Testament and Other Poems, hasCreatorOccupationOfAuthor, civil rights activist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreatorOccupationOfAuthor Context triple: [Dark Testament and Other Poems, hasCreatorOccupationOfAuthor, civil rights activist]
-
A.
hasAuthorOccupationOfAuthor
Indicates that an author has a specific occupation or professional role.
-
B.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
C.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
D.
authorWorkCreator
Indicates that an entity is the creator (author) responsible for producing a particular work.
-
E.
hasBiographicalSubjectOccupation
Indicates that the biographical subject is or was engaged in the specified occupation or profession.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182343a448190a5259cdf721c9d04 |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.