Triple
T10405292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Potts |
E245246
|
entity |
| Predicate | loyalTo |
P1201
|
FINISHED |
| Object |
the Beast
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.
|
E861852
|
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: the Beast | Statement: [Mrs. Potts, loyalTo, the Beast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Beast Context triple: [Mrs. Potts, loyalTo, the Beast]
-
A.
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.
-
B.
The Beast
The Beast is a song by Bill Callahan featured on his album "Shepherd in a Sheepskin Vest."
-
C.
The Beast
The Beast is a 1996 American made-for-television miniseries adaptation of Peter Benchley’s novel about a giant squid terrorizing a coastal community.
-
D.
The Beast
The Beast was the fearsome nickname of Jimmie Foxx, a legendary power-hitting Major League Baseball slugger of the early 20th century.
-
E.
Beast
Beast is a thriller novel by Peter Benchley that centers on a deadly giant squid terrorizing a coastal community.
- 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: the Beast Triple: [Mrs. Potts, loyalTo, the Beast]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: the Beast Target entity description: 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.
-
A.
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.
-
B.
The Beast
The Beast is a song by Bill Callahan featured on his album "Shepherd in a Sheepskin Vest."
-
C.
The Beast
The Beast is a 1996 American made-for-television miniseries adaptation of Peter Benchley’s novel about a giant squid terrorizing a coastal community.
-
D.
The Beast
The Beast was the fearsome nickname of Jimmie Foxx, a legendary power-hitting Major League Baseball slugger of the early 20th century.
-
E.
Beast
Beast is a thriller novel by Peter Benchley that centers on a deadly giant squid terrorizing a coastal community.
- F. None of above. chosen
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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e78008819088f0ffba78471509 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbe721b48190a4fd0c1d839c580e |
completed | April 9, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d822d597088190bf3dca85e1ddb890 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859cc1aac8190ab232bb4e4e4fac1 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:08 p.m.