Triple
T19714305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty and the Beast |
E473431
|
entity |
| Predicate | hasLoveInterest |
P7325
|
FINISHED |
| Object | the Beast |
—
|
NE NERFINISHED |
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: the Beast | Statement: [Beauty and the Beast, hasLoveInterest, the Beast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Beast Context triple: [Beauty and the Beast, hasLoveInterest, the Beast]
-
A.
the Beast
chosen
The Beast is the cursed prince and central male character in Disney's "Beauty and the Beast," whose transformation hinges on learning to love and be loved in return.
-
B.
the Beast
The Beast is a symbolic, apocalyptic figure in the New Testament’s Book of Revelation, often interpreted as representing oppressive worldly powers or ultimate evil opposing God.
-
C.
The Beast
The Beast is a song by Bill Callahan featured on his album "Shepherd in a Sheepskin Vest."
-
D.
The Beast
The Beast was the ferocious onstage nickname of John Bonham, the powerhouse drummer of the legendary rock band Led Zeppelin.
-
E.
The Beast
The Beast is a prominent abstract public sculpture by artist Lynn Chadwick located in the city center of Sheffield, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 1:46 p.m.