Triple

T3124082
Position Surface form Disambiguated ID Type / Status
Subject Finidi George E65253 entity
Predicate fullName P16 FINISHED
Object George Finidi
George Finidi is a retired Nigerian footballer best known as a skillful winger who starred for Ajax and the Nigerian national team in the 1990s.
 E328713 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: George Finidi | Statement: [Finidi George, fullName, George Finidi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George Finidi
Context triple: [Finidi George, fullName, George Finidi]
  • A. Paul Sarossy
    Paul Sarossy is a Canadian cinematographer known for his frequent collaborations with director Atom Egoyan and his work on numerous acclaimed films and television projects.
  • B. John Heydler
    John Heydler was an American baseball executive who served as president of the National League in the early 20th century.
  • C. Rudolf Fizir
    Rudolf Fizir was a Croatian aircraft designer known for creating numerous light aircraft and trainers in the early 20th century.
  • D. Otto Laporte
    Otto Laporte was a German-American physicist known for his contributions to quantum mechanics and molecular spectroscopy.
  • E. Alexander Zuntz
    Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
  • 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: George Finidi
Triple: [Finidi George, fullName, George Finidi]
Generated description
George Finidi is a retired Nigerian footballer best known as a skillful winger who starred for Ajax and the Nigerian national team in the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George Finidi
Target entity description: George Finidi is a retired Nigerian footballer best known as a skillful winger who starred for Ajax and the Nigerian national team in the 1990s.
  • A. Paul Sarossy
    Paul Sarossy is a Canadian cinematographer known for his frequent collaborations with director Atom Egoyan and his work on numerous acclaimed films and television projects.
  • B. John Heydler
    John Heydler was an American baseball executive who served as president of the National League in the early 20th century.
  • C. Rudolf Fizir
    Rudolf Fizir was a Croatian aircraft designer known for creating numerous light aircraft and trainers in the early 20th century.
  • D. Otto Laporte
    Otto Laporte was a German-American physicist known for his contributions to quantum mechanics and molecular spectroscopy.
  • E. Alexander Zuntz
    Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52d856c8190a5d65b8a6452be21 completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f72c2048190ab2aa40a109f5976 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b21083db7081908f8bc4240fc2b08b completed March 12, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_69b210fa8a7c8190ae4527161aa3af54 completed March 12, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:04 p.m.