Triple
T19714304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty and the Beast |
E473431
|
entity |
| Predicate | hasLoveInterest |
P7325
|
FINISHED |
| Object |
Beauty
Beauty is the kind, intelligent young woman who becomes the romantic heroine of the fairy tale "Beauty and the Beast."
|
E1391035
|
NE FINISHED |
How this triple was built (4 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: [Beauty and the Beast, hasLoveInterest, Beauty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beauty Context triple: [Beauty and the Beast, hasLoveInterest, 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 a philosophical work by Roger Scruton that explores the nature, value, and experience of aesthetic judgment in art and everyday life.
-
C.
Beauty
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.
-
D.
Beauty
Beauty is a character in Richard Bruce Nugent’s modernist short story “Smoke, Lilies and Jade,” often interpreted as an embodiment of aesthetic allure and queer desire in the Harlem Renaissance.
-
E.
Beauty
Beauty is a 2014 Nigerian romantic drama film that explores themes of love, identity, and emotional struggle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Beauty Triple: [Beauty and the Beast, hasLoveInterest, Beauty]
Generated description
Beauty is the kind, intelligent young woman who becomes the romantic heroine of the fairy tale "Beauty and the Beast."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beauty Target entity description: Beauty is the kind, intelligent young woman who becomes the romantic heroine of the fairy tale "Beauty and the Beast."
-
A.
Beauty
chosen
Beauty is the kind, intelligent young woman who serves as the heroine of the fairy tale "Beauty and the Beast."
-
B.
Beauty
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.
-
C.
Beauty
Beauty is a character in Richard Bruce Nugent’s modernist short story “Smoke, Lilies and Jade,” often interpreted as an embodiment of aesthetic allure and queer desire in the Harlem Renaissance.
-
D.
Beauty
Beauty is a 2014 Nigerian romantic drama film that explores themes of love, identity, and emotional struggle.
-
E.
Beauty
"Beauty" is an R&B ballad by Dru Hill, known for its smooth harmonies and romantic lyrics.
- F. None of above.
Provenance (5 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440b47508190a8a33325b00841dc |
completed | April 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4ea32d48190b94a6bbc52833db8 |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b5d90eb081909286da7f06d606cf |
completed | May 16, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b6bb60088190b3473ff2bf7cfde1 |
completed | May 16, 2026, 12:13 a.m. |
Created at: April 10, 2026, 1:46 p.m.