Triple

T1932134
Position Surface form Disambiguated ID Type / Status
Subject Botafogo FR E40968 entity
Predicate notablePlayer P304 FINISHED
Object Didi
Didi was a legendary Brazilian attacking midfielder, renowned for his playmaking brilliance and key role in Brazil’s World Cup victories in 1958 and 1962.
 E216248 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: Didi | Statement: [Botafogo FR, notablePlayer, Didi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Didi
Context triple: [Botafogo FR, notablePlayer, Didi]
  • A. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • B. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • C. Zaza
    Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
  • D. Gabi
    Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • E. Andrea
    Andrea is the given name of the influential Italian Renaissance architect Andrea Palladio, whose classical designs shaped Western architecture.
  • 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: Didi
Triple: [Botafogo FR, notablePlayer, Didi]
Generated description
Didi was a legendary Brazilian attacking midfielder, renowned for his playmaking brilliance and key role in Brazil’s World Cup victories in 1958 and 1962.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Didi
Target entity description: Didi was a legendary Brazilian attacking midfielder, renowned for his playmaking brilliance and key role in Brazil’s World Cup victories in 1958 and 1962.
  • A. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • B. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • C. Zaza
    Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
  • D. Gabi
    Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • E. Andrea
    Andrea is the given name of the influential Italian Renaissance architect Andrea Palladio, whose classical designs shaped Western architecture.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb297ec2c819092ad62d72005223d completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f16d0c8190967862b68e6cc373 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf48412b08190b6ad0f3abf42a081 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf4f8f3c481909efcb6d632522e1a completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.