Triple
T7874924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Kipps |
E182825
|
entity |
| Predicate | frameStoryContext |
P7324
|
FINISHED |
| Object | older man recounting his youth at Christmas |
—
|
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: older man recounting his youth at Christmas | Statement: [Arthur Kipps, frameStoryContext, older man recounting his youth at Christmas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameStoryContext Context triple: [Arthur Kipps, frameStoryContext, older man recounting his youth at Christmas]
-
A.
narrativeFrame
chosen
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
B.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
C.
storyWorld
Indicates the fictional universe or narrative setting within which a story, event, or character exists or takes place.
-
D.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
E.
frameStoryCharacters
Indicates that one or more characters participate in or are involved in the narrative frame of a story (the outer or framing narrative).
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a961188190b2f12f8fe5d66641 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:56 p.m.