Triple
T36200008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is Not a Pity Memoir |
E1047233
|
entity |
| Predicate | relatedProfessionOfAuthor |
—
|
GENERATED |
| Object | screenwriter |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedProfessionOfAuthor Context triple: [This Is Not a Pity Memoir, relatedProfessionOfAuthor, screenwriter]
-
A.
relatedProfession
Indicates that two entities have professions that are connected or associated in some meaningful way, such as being in the same field, industry, or professional domain.
-
B.
coAuthorOccupation
Indicates that two or more co-authors share the same or closely related professional occupation.
-
C.
relatedWorkOfPerson
Indicates that a work (such as a publication, project, or creation) is associated with or produced by a particular person.
-
D.
associatedProfessionOfFounder
Indicates the professional field or occupation linked to the founder of an entity.
-
E.
publisherProfessionOfAuthor
Indicates that the profession specified is the occupation or professional role of the author associated with a given publisher.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.