Triple
T34114319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Edgar Wallace Mystery Theatre |
E874926
|
entity |
| Predicate | sourceAuthorOccupation |
P13413
|
FINISHED |
| Object | prolific crime writer |
—
|
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: prolific crime writer | Statement: [The Edgar Wallace Mystery Theatre, sourceAuthorOccupation, prolific crime writer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceAuthorOccupation Context triple: [The Edgar Wallace Mystery Theatre, sourceAuthorOccupation, prolific crime writer]
-
A.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
B.
hasAuthorOccupationOfAuthor
Indicates that an author has a specific occupation or professional role.
-
C.
coAuthorOccupation
Indicates that two or more co-authors share the same or closely related professional occupation.
-
D.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
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.
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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 1, 2026, 1:53 a.m.