Triple
T37527321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willem van Blijenbergh |
E932940
|
entity |
| Predicate | religiousDiscourseWith |
P201824
|
FINISHED |
| Object | Baruch Spinoza |
—
|
NE NERFINISHED |
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: Baruch Spinoza | Statement: [Willem van Blijenbergh, religiousDiscourseWith, Baruch Spinoza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousDiscourseWith Context triple: [Willem van Blijenbergh, religiousDiscourseWith, Baruch Spinoza]
-
A.
religiousTopicAddressed
Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
-
B.
religiousControversy
Indicates a relationship in which entities are involved in a dispute, conflict, or debate specifically concerning religious beliefs, practices, or institutions.
-
C.
religiousSpectrum
Indicates a relationship that places entities along a range or continuum of religious belief, practice, or affiliation.
-
D.
subjectReligion
Indicates that the subject is associated with, practices, or adheres to a particular religion.
-
E.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
- F. None of above. chosen
Provenance (4 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00262d71488190a769783fb09e5803 |
completed | May 10, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_6a0023985f148190a335a3fb93e9981e |
completed | May 10, 2026, 6:20 a.m. |
| PDg | Predicate description generation | batch_6a00262cc9408190b95076a2d3da057d |
completed | May 10, 2026, 6:31 a.m. |
Created at: May 3, 2026, 4:17 p.m.