Triple
T29790986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fashion Show |
E756401
|
entity |
| Predicate | hasNarrativeElements |
P11859
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Fashion Show, hasNarrativeElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNarrativeElements Context triple: [The Fashion Show, hasNarrativeElements, true]
-
A.
hasNarrative
chosen
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
B.
hasNarrativeSegments
Indicates that an entity is composed of or associated with multiple distinct narrative segments or sections.
-
C.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
D.
hasNarrativeContext
Indicates that an entity is associated with, or situated within, a particular narrative or storytelling context that frames its meaning or role.
-
E.
hasMetaNarrativeElement
Indicates that a work contains self-referential or self-aware storytelling features that comment on, frame, or otherwise draw attention to its own narrative structure or status as a 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: April 29, 2026, 5:12 p.m.