Triple
T33509503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Frank Burns |
E858200
|
entity |
| Predicate | attitudeTowardAuthority |
P177412
|
FINISHED |
| Object | authoritarian |
—
|
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: authoritarian | Statement: [Major Frank Burns, attitudeTowardAuthority, authoritarian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardAuthority Context triple: [Major Frank Burns, attitudeTowardAuthority, authoritarian]
-
A.
attitudeTowardSocialNorms
Indicates an entity’s stance, feelings, or orientation regarding prevailing social rules, expectations, or norms.
-
B.
attitudeTowardOthers
Indicates the nature or disposition of one entity’s feelings, judgments, or behavioral stance toward other entities.
-
C.
attitudeTowardEducation
Indicates an entity’s feelings, beliefs, or stance regarding education or educational practices.
-
D.
attitudeTowardRegulations
Indicates an entity’s stance, opinion, or disposition regarding rules, laws, or formal regulations.
-
E.
understandingOfAuthority
Indicates a relationship where one entity comprehends, interprets, or recognizes the nature, scope, or legitimacy of another entity’s authority.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 1:38 a.m.