Triple
T26338143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the God-man |
E662572
|
entity |
| Predicate | roleInKierkegaard |
P67072
|
FINISHED |
| Object | condition for salvation |
—
|
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: condition for salvation | Statement: [the God-man, roleInKierkegaard, condition for salvation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInKierkegaard Context triple: [the God-man, roleInKierkegaard, condition for salvation]
-
A.
roleInKierkegaardAuthorship
Indicates the specific role or contribution an entity has in the authorship or creation of works associated with Kierkegaard.
-
B.
authorialLevelRelativeToKierkegaard
Indicates the comparative degree to which an author’s style, thought, or influence aligns with or approaches that of Kierkegaard.
-
C.
hasPhilosophicalRole
Indicates that an entity occupies, performs, or is associated with a specific role or function within a philosophical context or discourse.
-
D.
roleInTheory
chosen
Indicates the specific function, position, or contribution that an entity has within a particular theory or theoretical framework.
-
E.
roleInDialogue
Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 26, 2026, 10:37 p.m.