Triple

T8554628
Position Surface form Disambiguated ID Type / Status
Subject Fluminense Football Club E202533 entity
Predicate notablePlayer P304 FINISHED
Object Fred
Fred is a prolific Brazilian striker best known for his goal-scoring exploits with Fluminense and the Brazilian national team.
 E743523 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: [Fluminense Football Club, notablePlayer, Fred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fred
Context triple: [Fluminense Football Club, notablePlayer, 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 French luxury jewelry brand renowned for its elegant, contemporary designs and high-end craftsmanship, owned by the LVMH group.
  • C. Fred
    Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
  • D. Fred
    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."
  • E. Fred
    Fred is a surname most notably borne by E. B. Fred, an American bacteriologist and former president of the University of Wisconsin–Madison.
  • 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: [Fluminense Football Club, notablePlayer, Fred]
Generated description
Fred is a prolific Brazilian striker best known for his goal-scoring exploits with Fluminense and the Brazilian national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fred
Target entity description: Fred is a prolific Brazilian striker best known for his goal-scoring exploits with Fluminense and the Brazilian national team.
  • A. Fred
    Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
  • B. Fred
    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."
  • C. Fred
    Fred is a French luxury jewelry brand renowned for its elegant, contemporary designs and high-end craftsmanship, owned by the LVMH group.
  • D. Fred
    Fred is a surname most notably borne by E. B. Fred, an American bacteriologist and former president of the University of Wisconsin–Madison.
  • E. Fred
    Fred is Ebenezer Scrooge’s cheerful and warm-hearted nephew in Charles Dickens’s novella "A Christmas Carol."
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe88a936c8190a0234bf7da2ff55a completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce892efdf8819093c966bd8f6c8065 completed April 2, 2026, 3:20 p.m.
NEDg Description generation batch_69ce8c7ad5cc8190a50c8e15ce353d1d completed April 2, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d595d80819093a1b849bcb3c7c7 completed April 2, 2026, 3:38 p.m.
Created at: March 30, 2026, 6:19 p.m.