Triple
T6091772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother and Child |
E135781
|
entity |
| Predicate | featuresInterwovenStories |
P51756
|
FINISHED |
| Object | three women |
—
|
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: three women | Statement: [Mother and Child, featuresInterwovenStories, three women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresInterwovenStories Context triple: [Mother and Child, featuresInterwovenStories, three women]
-
A.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
B.
narrativeConnection
chosen
Indicates a meaningful relationship between elements within a narrative, such as events, characters, or scenes, that links them in terms of plot, causality, or thematic continuity.
-
C.
frameStoryCharacters
Indicates that one or more characters participate in or are involved in the narrative frame of a story (the outer or framing narrative).
-
D.
storyWorld
Indicates the fictional universe or narrative setting within which a story, event, or character exists or takes place.
-
E.
storyFunction
Indicates that one entity serves a particular narrative role or function within the story structure 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ab7324819086d4708e6f9391c0 |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.