Triple
T36593400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walker’s Appeal |
E902728
|
entity |
| Predicate | religiousAppeal |
P10912
|
FINISHED |
| Object | uses Christian arguments against slavery |
—
|
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: uses Christian arguments against slavery | Statement: [Walker’s Appeal, religiousAppeal, uses Christian arguments against slavery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousAppeal Context triple: [Walker’s Appeal, religiousAppeal, uses Christian arguments against slavery]
-
A.
religiousFunction
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
B.
religiousClaim
chosen
Indicates that an entity asserts, expresses, or is associated with a statement or belief grounded in religion or spiritual doctrine.
-
C.
religiousMotivation
Indicates that an action, decision, or relationship is driven or significantly influenced by religious beliefs, values, or obligations.
-
D.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
E.
religiousAlliance
Indicates a cooperative relationship formed between entities based on shared religious beliefs, institutions, or objectives.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a000014497c819088d5cda3977522dd |
completed | May 10, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69ffff9a52b08190be1024e0fb6fe661 |
completed | May 10, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:11 p.m.