Triple
T28680871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krauss-Hitchens panel |
E726000
|
entity |
| Predicate | featuresPosition |
P197589
|
FINISHED |
| Object | critique of religion |
—
|
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: critique of religion | Statement: [Krauss-Hitchens panel, featuresPosition, critique of religion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPosition Context triple: [Krauss-Hitchens panel, featuresPosition, critique of religion]
-
A.
featuresLocation
Indicates that something is characterized by or includes a specific location as one of its notable attributes.
-
B.
designPositioning
Indicates the spatial or conceptual placement of a design element relative to other elements or a defined reference.
-
C.
positionOften
Indicates that one entity frequently holds, occupies, or is located at a particular position relative to another entity or context.
-
D.
platformPosition
Indicates the relative location or placement of something on, within, or in relation to a platform.
-
E.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
- 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_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
| PDg | Predicate description generation | batch_69fe9df9561c8190a068f91c9fc78e56 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 28, 2026, 5:09 a.m.