Triple
T1486683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Parcher |
E29479
|
entity |
| Predicate | alignmentFromAudienceView |
P29187
|
FINISHED |
| Object | antagonistic hallucination |
—
|
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: antagonistic hallucination | Statement: [William Parcher, alignmentFromAudienceView, antagonistic hallucination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentFromAudienceView Context triple: [William Parcher, alignmentFromAudienceView, antagonistic hallucination]
-
A.
alignmentChange
Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
-
B.
alignmentConcept
Indicates a conceptual or abstract relationship of alignment or correspondence between entities, such as agreement, compatibility, or shared orientation in some dimension.
-
C.
alignedAgainst
Indicates that two or more entities are united in opposition to a common target, side, or objective.
-
D.
alignsWith
Indicates that one entity is in agreement, harmony, or consistent correspondence with another in terms of position, direction, standard, or principle.
-
E.
requiresAlignment
Indicates that one entity depends on another entity being properly aligned or brought into a specified alignment condition before the relationship or action can occur.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a3325881909bbc55efc04ad60f |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:12 p.m.