Triple
T7245210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Second Day |
E156453
|
entity |
| Predicate | hasFrameNarrative |
P7324
|
FINISHED |
| Object | stories told by different inn guests |
—
|
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: stories told by different inn guests | Statement: [The Second Day, hasFrameNarrative, stories told by different inn guests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrameNarrative Context triple: [The Second Day, hasFrameNarrative, stories told by different inn guests]
-
A.
narrativeFrame
chosen
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
B.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
C.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
D.
hasPartInNarrative
Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative entity.
-
E.
hasNarrativeRole
Indicates that an entity participates in a narrative with a specific functional role (e.g., protagonist, antagonist, narrator) relative to the story.
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea596fdc8190b2115363f1033441 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.