Triple

T7494557
Position Surface form Disambiguated ID Type / Status
Subject Beauty and the Beast (2017 film) E177090 entity
Predicate character P662 FINISHED
Object Beast
Beast is the cursed prince who transforms into a monstrous creature and must learn love and compassion to break the spell in Disney’s 2017 live-action adaptation of "Beauty and the Beast."
E668463 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: Beast | Statement: [Beauty and the Beast (2017 film), character, Beast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beast
Context triple: [Beauty and the Beast (2017 film), character, Beast]
  • A. Beast
    Beast is a brilliant mutant scientist and acrobatic fighter known for his blue-furred, beast-like appearance and long-standing membership in the X-Men and Avengers.
  • B. Beast
    Beast is the short name of the Brampton Beast, a former professional ice hockey team based in Brampton, Ontario, that competed in the ECHL.
  • C. Beast
    Beast is a thriller novel by Peter Benchley that centers on a deadly 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. The Beast
    The Beast is a song by Bill Callahan featured on his album "Shepherd in a Sheepskin Vest."
  • 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: Beast
Triple: [Beauty and the Beast (2017 film), character, Beast]
Generated description
Beast is the cursed prince who transforms into a monstrous creature and must learn love and compassion to break the spell in Disney’s 2017 live-action adaptation of "Beauty and the Beast."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beast
Target entity description: Beast is the cursed prince who transforms into a monstrous creature and must learn love and compassion to break the spell in Disney’s 2017 live-action adaptation of "Beauty and the Beast."
  • A. Beast
    Beast is a thriller novel by Peter Benchley that centers on a deadly giant squid terrorizing a coastal community.
  • B. Beast
    Beast is a brilliant mutant scientist and acrobatic fighter known for his blue-furred, beast-like appearance and long-standing membership in the X-Men and Avengers.
  • C. Beast
    Beast is the short name of the Brampton Beast, a former professional ice hockey team based in Brampton, Ontario, that competed in the ECHL.
  • 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. The Beast
    The Beast is a song by Bill Callahan featured on his album "Shepherd in a Sheepskin Vest."
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57b5b4c8190ab839e6a98ee86ed completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c819f00819087fef27e4f4fdc1c completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83ddda5688190be1ec69f23671f60 completed March 28, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69c83e42b0048190b1abd8ae99c97e38 completed March 28, 2026, 8:46 p.m.
Created at: March 27, 2026, 3:43 p.m.