Triple
T10368035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke (Love Actually) |
E244305
|
entity |
| Predicate | partOfStoryline |
P35676
|
FINISHED |
| Object | wedding storyline involving Juliet and Mark |
—
|
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: wedding storyline involving Juliet and Mark | Statement: [Luke (Love Actually), partOfStoryline, wedding storyline involving Juliet and Mark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfStoryline Context triple: [Luke (Love Actually), partOfStoryline, wedding storyline involving Juliet and Mark]
-
A.
storyline
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
B.
storyElement
chosen
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
C.
narrativeSequence
Indicates that one event or narrative element follows another in a temporal or logical storytelling order.
-
D.
hasPartInNarrative
Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative entity.
-
E.
coreNarrative
Indicates the primary storyline or central sequence of events that forms the main thread of 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97106448190a075948e63184f47 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 12:01 p.m.