Triple
T2641302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belief: Readings on the Reason for Faith |
E62871
|
entity |
| Predicate | editorOccupation |
P35804
|
FINISHED |
| Object | geneticist |
—
|
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: geneticist | Statement: [Belief: Readings on the Reason for Faith, editorOccupation, geneticist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorOccupation Context triple: [Belief: Readings on the Reason for Faith, editorOccupation, geneticist]
-
A.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
B.
creatorOccupation
Indicates the professional role or job that the creator of an entity holds or held.
-
C.
fictionalOccupation
Indicates that one entity is the imaginary or narrative-based job, role, or profession attributed to another entity within a fictional context.
-
D.
editorialRole
chosen
Indicates that one entity holds an editorial position or responsibility in relation to another entity, such as a publication, work, or organization.
-
E.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fdc0bc8190b7fd102b87ee50d1 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.