Triple

T2507485
Position Surface form Disambiguated ID Type / Status
Subject Brazil national football team E52616 entity
Predicate notablePlayer P304 FINISHED
Object Zico
Zico is a legendary Brazilian attacking midfielder renowned for his playmaking, vision, and free-kick mastery, often regarded as one of the greatest footballers of all time.
 E272041 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: Zico | Statement: [Brazil national football team, notablePlayer, Zico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zico
Context triple: [Brazil national football team, notablePlayer, Zico]
  • A. Doug Jung
    Doug Jung is an American screenwriter and producer best known for co-writing the science fiction film "Star Trek Beyond."
  • B. Wi Ha-joon
    Wi Ha-joon is a South Korean actor and model best known internationally for his breakout role in the hit Netflix survival drama series "Squid Game."
  • C. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • D. Lee Hak-rae
    Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
  • E. Suga
    Suga is a Japanese politician who served as the Prime Minister of Japan from 2020 to 2021.
  • 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: Zico
Triple: [Brazil national football team, notablePlayer, Zico]
Generated description
Zico is a legendary Brazilian attacking midfielder renowned for his playmaking, vision, and free-kick mastery, often regarded as one of the greatest footballers of all time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zico
Target entity description: Zico is a legendary Brazilian attacking midfielder renowned for his playmaking, vision, and free-kick mastery, often regarded as one of the greatest footballers of all time.
  • A. Doug Jung
    Doug Jung is an American screenwriter and producer best known for co-writing the science fiction film "Star Trek Beyond."
  • B. Wi Ha-joon
    Wi Ha-joon is a South Korean actor and model best known internationally for his breakout role in the hit Netflix survival drama series "Squid Game."
  • C. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • D. Lee Hak-rae
    Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
  • E. Suga
    Suga is a Japanese politician who served as the Prime Minister of Japan from 2020 to 2021.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1eb3be481908fa7c6b8f1c78209 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa7dbb88190815087416b207b54 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af203f7ca08190ba781891bd879192 completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20cd13a88190a35bc1b74ad088ef completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.