Triple
T11056991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Walker |
E261400
|
entity |
| Predicate | usedInAppeal |
P54442
|
FINISHED |
| Object | biblical 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: biblical arguments against slavery | Statement: [David Walker, usedInAppeal, biblical arguments against slavery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInAppeal Context triple: [David Walker, usedInAppeal, biblical arguments against slavery]
-
A.
usedInCourts
Indicates that something is employed or applied within legal court settings, such as in judicial proceedings or courtroom processes.
-
B.
usedByCourt
Indicates that something (such as a document, argument, or evidence) is utilized or relied upon by a court in its judicial process.
-
C.
usedInLegalCitation
Indicates that one entity is referenced or relied upon as an authoritative source within a legal citation to support legal arguments or decisions.
-
D.
usedInArgumentAbout
chosen
Indicates that something (such as a statement, example, or piece of evidence) is employed as part of the reasoning or support within a particular argument or debate.
-
E.
usedInCase
Indicates that something (such as an item, method, or piece of information) is employed or applied within a particular case or instance.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a2404c819090cb0825a67a64fa |
completed | April 9, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.