Triple
T4768504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deuteronomistic history |
E105868
|
entity |
| Predicate | redactionTheory |
P119
|
FINISHED |
| Object | single exilic redactor (Noth’s view) |
—
|
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: single exilic redactor (Noth’s view) | Statement: [Deuteronomistic history, redactionTheory, single exilic redactor (Noth’s view)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redactionTheory Context triple: [Deuteronomistic history, redactionTheory, single exilic redactor (Noth’s view)]
-
A.
censorshipReason
Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
-
B.
theoreticalText
Indicates that one entity is a theoretical or conceptual written work about, or used as a basis for understanding, the other entity.
-
C.
appliesTheory
Indicates that an entity uses or implements a particular theory in analyzing, explaining, or addressing something.
-
D.
theorized
chosen
Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
-
E.
viewOnTheories
Indicates a relationship where an entity holds or expresses a particular perspective, stance, or opinion regarding one or more theories.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6537eb80819096e0ae906c59d605 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.