Triple
T1084366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrismation in Eastern Christianity |
E24016
|
entity |
| Predicate | roleInInitiation |
P24047
|
FINISHED |
| Object | completes Christian initiation |
—
|
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: completes Christian initiation | Statement: [Chrismation in Eastern Christianity, roleInInitiation, completes Christian initiation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInInitiation Context triple: [Chrismation in Eastern Christianity, roleInInitiation, completes Christian initiation]
-
A.
plannedRole
Indicates that an entity is expected or intended to assume a particular role or function in a planned or future context.
-
B.
initiator
Indicates the entity that starts, triggers, or causes an action, event, or process to occur.
-
C.
initiationStatus
Indicates the current state or phase of beginning or starting a process, activity, or relationship between entities.
-
D.
roleInDialogue
Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
-
E.
initiatedBy
Indicates that an action, event, or process was started or set in motion by a particular entity.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9608bac819085196cc0f8fbb2e7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b8f1097881908932d7eea4331917 |
completed | March 1, 2026, 10:08 p.m. |
Created at: March 1, 2026, 7:42 p.m.