Triple
T14635068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faulkner and Desegregation |
E343580
|
entity |
| Predicate | critiquesPositionOf |
P78591
|
FINISHED |
| Object | William Faulkner on desegregation |
—
|
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: William Faulkner on desegregation | Statement: [Faulkner and Desegregation, critiquesPositionOf, William Faulkner on desegregation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: critiquesPositionOf Context triple: [Faulkner and Desegregation, critiquesPositionOf, William Faulkner on desegregation]
-
A.
criticizesPosition
chosen
Indicates that one entity expresses disapproval of, challenges, or points out flaws in another entity’s stance, viewpoint, or argument.
-
B.
aimsToCritique
Indicates an intention to analyze and point out faults, limitations, or weaknesses in something.
-
C.
critiquesConcept
Indicates that one entity analyzes, evaluates, or challenges the ideas or principles represented by another entity.
-
D.
criticizedConstruct
Indicates that one entity expressed disapproval or negative judgment about another entity’s constructed work, idea, or creation.
-
E.
subjectPosition
Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.