Triple
T11794742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fables |
E280474
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Beauty |
E942478
|
NE 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: Beauty | Statement: [Fables, featuresCharacter, Beauty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beauty Context triple: [Fables, featuresCharacter, Beauty]
-
A.
Beauty
"Beauty" is an essay by Ralph Waldo Emerson that explores the nature, sources, and moral significance of beauty in human life and the natural world.
-
B.
Beauty
Beauty is an immersive installation artwork by Olafur Eliasson that uses light, water, and atmospheric effects to create a shimmering, rainbow-like experience that explores perception and the nature of seeing.
-
C.
Beauty
Beauty is a philosophical work by Roger Scruton that explores the nature, value, and experience of aesthetic judgment in art and everyday life.
-
D.
Beauty
chosen
Beauty is a key supporting character in the noir-inspired graphic adventure game "The Wolf Among Us," portrayed as a modernized version of the classic fairy-tale princess navigating the gritty world of Fabletown.
-
E.
BEAUTY
BEAUTY is the radio callsign used by the Belgian leisure airline TUI fly Belgium for its flight operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09115c66c8190b0a3e775bdf575c1 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 8, 2026, 9:42 p.m.