Triple
T1924079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Science: Good, Bad and Bogus |
E40188
|
entity |
| Predicate | positionOnPseudoscience |
P6571
|
FINISHED |
| Object | critical |
—
|
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: critical | Statement: [Science: Good, Bad and Bogus, positionOnPseudoscience, critical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnPseudoscience Context triple: [Science: Good, Bad and Bogus, positionOnPseudoscience, critical]
-
A.
positionOnScience
chosen
Indicates the stance, viewpoint, or attitude an entity holds regarding science or scientific matters.
-
B.
positionOnMetaphysics
Indicates a relationship where an entity’s stance, view, or theoretical commitment regarding metaphysical questions or issues is specified.
-
C.
positionOnReason
Indicates that one entity holds a particular stance, justification, or rationale concerning another entity or issue.
-
D.
contradictedTheory
Indicates that one entity has presented evidence, arguments, or findings that oppose, challenge, or invalidate the theory proposed by another entity.
-
E.
positionOnKnowledge
Indicates the stance, viewpoint, or level of agreement an entity holds regarding a particular piece or body of knowledge.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2359ca0819082b514a34c469b21 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.