Triple

T14784340
Position Surface form Disambiguated ID Type / Status
Subject Hiro Hamada E347473 entity
Predicate ally P4662 FINISHED
Object Fred
Fred is a laid-back, comic-book-loving member of the superhero team in Disney's "Big Hero 6," known for donning a kaiju-like monster suit in battle.
 E347478 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: Fred | Statement: [Hiro Hamada, ally, Fred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fred
Context triple: [Hiro Hamada, ally, Fred]
  • A. Fred
    Fred is Ebenezer Scrooge’s cheerful and warm-hearted nephew in Charles Dickens’s novella "A Christmas Carol."
  • B. Fred
    Fred is a prolific Brazilian striker best known for his goal-scoring exploits with Fluminense and the Brazilian national team.
  • C. Fred
    Fred is a masculine given name commonly used in English-speaking countries, often as a short form of Frederick or Alfred.
  • D. Fred
    Fred is the son of Fred Trump Jr. and the nephew of former U.S. President Donald Trump.
  • E. Fred
    Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
  • 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: Fred
Triple: [Hiro Hamada, ally, Fred]
Generated description
Fred is a laid-back, comic-book-loving member of the superhero team in Disney's "Big Hero 6," known for donning a kaiju-like monster suit in battle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fred
Target entity description: Fred is a laid-back, comic-book-loving member of the superhero team in Disney's "Big Hero 6," known for donning a kaiju-like monster suit in battle.
  • A. Fred chosen
    Fred is a laid-back, comic book–obsessed college student and enthusiastic member of the superhero team in Disney's animated film "Big Hero 6."
  • B. Fred
    Fred is the prehistoric, loudmouthed but lovable main character of the animated television series "The Flintstones."
  • C. Fred
    Fred is the given name of Fredro Starr, an American rapper and actor best known as a member of the hip hop group Onyx and for his roles in film and television.
  • D. Fred
    Fred is a prolific Brazilian striker best known for his goal-scoring exploits with Fluminense and the Brazilian national team.
  • E. Fred
    Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0d051d9481909e6a5aab6e18b127 completed May 8, 2026, 4:19 p.m.
NEDg Description generation batch_69fe1333f5fc81908c910ff7031a4e5f completed May 8, 2026, 4:45 p.m.
NED2 Entity disambiguation (via description) batch_69fe139023908190a0423a9f87ed80f7 completed May 8, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:31 a.m.