Triple

T2700085
Position Surface form Disambiguated ID Type / Status
Subject Avengers E59209 entity
Predicate member P10 FINISHED
Object 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.
E291487 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: [Avengers, member, Beast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beast
Context triple: [Avengers, member, Beast]
  • A. Beast
    Beast is a thriller novel by Peter Benchley that centers on a deadly giant squid terrorizing a coastal community.
  • B. The Beast
    The Beast was the fearsome nickname of Jimmie Foxx, a legendary power-hitting Major League Baseball slugger of the early 20th century.
  • C. 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.
  • D. Los Leones
    Los Leones is the popular nickname of the Cuban baseball team Industriales, one of the most successful and beloved clubs in the Cuban National Series.
  • E. Crystal Bear
    The Crystal Bear is a youth jury prize at the Berlin International Film Festival that honors outstanding films for children and young audiences.
  • 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: [Avengers, member, Beast]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beast
Target entity description: 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.
  • A. Beast
    Beast is a thriller novel by Peter Benchley that centers on a deadly giant squid terrorizing a coastal community.
  • B. The Beast
    The Beast was the fearsome nickname of Jimmie Foxx, a legendary power-hitting Major League Baseball slugger of the early 20th century.
  • C. 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.
  • D. Los Leones
    Los Leones is the popular nickname of the Cuban baseball team Industriales, one of the most successful and beloved clubs in the Cuban National Series.
  • E. Crystal Bear
    The Crystal Bear is a youth jury prize at the Berlin International Film Festival that honors outstanding films for children and young audiences.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda34ba508190be8e2c9e4052adfc completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf70f9088190acd4c8bd05deea47 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb045e304819080efecf2738453e6 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ab2a8081909e729f883a7438d7 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.