Triple
T28680870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krauss-Hitchens panel |
E726000
|
entity |
| Predicate | discussesViewsOf |
P165540
|
FINISHED |
| Object | William Lane Craig |
—
|
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: William Lane Craig | Statement: [Krauss-Hitchens panel, discussesViewsOf, William Lane Craig]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discussesViewsOf Context triple: [Krauss-Hitchens panel, discussesViewsOf, William Lane Craig]
-
A.
notableViewpoints
Indicates that an entity is associated with significant or noteworthy viewpoints, perspectives, or opinions.
-
B.
hasDifferentOpinionsOn
Indicates that two or more entities hold differing views or judgments regarding a particular topic, issue, or subject.
-
C.
reflectsPoliticalViewsOf
Indicates that one entity’s opinions, statements, or representations express or mirror the political views held by another entity.
-
D.
popularViewpointFor
Indicates that a particular viewpoint is widely held or commonly accepted within a specified group, context, or domain.
-
E.
isMajorViewpointOf
Indicates that a particular perspective, opinion, or interpretation is a primary or widely recognized way of viewing or understanding something.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 5:09 a.m.