Triple
T32124153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butterfly Room |
E820453
|
entity |
| Predicate | inStorySettingType |
P45019
|
FINISHED |
| Object | daycare center |
—
|
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: daycare center | Statement: [Butterfly Room, inStorySettingType, daycare center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inStorySettingType Context triple: [Butterfly Room, inStorySettingType, daycare center]
-
A.
narrativeSettingOfWork
chosen
Indicates that a particular place, time, or context serves as the narrative setting in which a work’s story or events occur.
-
B.
storyEngine
Indicates that one entity functions as a narrative-generating or plot-controlling mechanism for another entity or set of events.
-
C.
laterSettingOfFiction
Indicates that one fictional work is set chronologically later than another within a shared narrative or story world.
-
D.
narrativeDesigner
Indicates a relationship where an entity serves as the creator or architect of a story’s structure, dialogue, and interactive narrative elements for another entity such as a game, experience, or project.
-
E.
settingOfNarration
Indicates the place, time, or context in which a narrated event or story takes place.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b96a22d48190aba271c414a1d926 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:29 a.m.