Triple
T1011156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Festival of Nine Lessons and Carols |
E21825
|
entity |
| Predicate | tellsStoryOf |
P6847
|
FINISHED |
| Object | salvation history |
—
|
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: salvation history | Statement: [Festival of Nine Lessons and Carols, tellsStoryOf, salvation history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tellsStoryOf Context triple: [Festival of Nine Lessons and Carols, tellsStoryOf, salvation history]
-
A.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
B.
originStorySummary
Indicates a brief narrative explaining how something began, was created, or came into existence.
-
C.
narratorOf
Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
-
D.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
E.
containsNarrativeOf
chosen
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.