Triple
T19141324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Work in the Spirit |
E468562
|
entity |
| Predicate | setsInDialogue |
P134581
|
FINISHED |
| Object | Christian theology and modern economic theory |
—
|
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: Christian theology and modern economic theory | Statement: [Work in the Spirit, setsInDialogue, Christian theology and modern economic theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsInDialogue Context triple: [Work in the Spirit, setsInDialogue, Christian theology and modern economic theory]
-
A.
setsIn
Indicates that one entity places or positions another entity into or within a specified container, location, or context.
-
B.
hasDialogueIn
Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
-
C.
dialoguesBy
Indicates that one entity is the creator, author, or source of the dialogues associated with another entity.
-
D.
numberOfDialogues
Indicates the total count of dialogues associated with or occurring between the referenced entities.
-
E.
setsOut
Indicates that an entity begins a journey, course of action, or process, moving from an initial state or location toward a goal or destination.
- F. None of above. chosen
Provenance (4 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e975e09c8190911e98e6e558615d |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:05 p.m.