Triple

T12313849
Position Surface form Disambiguated ID Type / Status
Subject Telê Santana E293548 entity
Predicate givenName P17 FINISHED
Object Telê
Telê is the given name of Telê Santana, a renowned Brazilian football manager best known for coaching Brazil’s celebrated 1982 and 1986 World Cup teams.
 E976504 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: Telê | Statement: [Telê Santana, givenName, Telê]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Telê
Context triple: [Telê Santana, givenName, Telê]
  • A. Teles
    Teles is a relatively obscure figure in Greek mythology, known primarily as one of the many children in the royal lineage associated with the hero Perseus.
  • B. Teliu
    Teliu is a commune in Brașov County, Romania, known for its scenic location in the historical region of Țara Bârsei (Burzenland) in Transylvania.
  • C. Telu
    Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
  • D. Telegin
    Telegin is a minor but memorable character in Anton Chekhov’s play "Uncle Vanya," known for his shabby gentility, loyalty, and melancholy humor.
  • E. Teke
    Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
  • 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: Telê
Triple: [Telê Santana, givenName, Telê]
Generated description
Telê is the given name of Telê Santana, a renowned Brazilian football manager best known for coaching Brazil’s celebrated 1982 and 1986 World Cup teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Telê
Target entity description: Telê is the given name of Telê Santana, a renowned Brazilian football manager best known for coaching Brazil’s celebrated 1982 and 1986 World Cup teams.
  • A. Teles
    Teles is a relatively obscure figure in Greek mythology, known primarily as one of the many children in the royal lineage associated with the hero Perseus.
  • B. Teliu
    Teliu is a commune in Brașov County, Romania, known for its scenic location in the historical region of Țara Bârsei (Burzenland) in Transylvania.
  • C. Telu
    Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
  • D. Telegin
    Telegin is a minor but memorable character in Anton Chekhov’s play "Uncle Vanya," known for his shabby gentility, loyalty, and melancholy humor.
  • E. Teke
    Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f03d3c88190baedffb83465bff8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e86d45881909a9a3c09df0b78f1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f622a646c481908164ae5387625bb4 completed May 2, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69f623f5aa608190bce3e62e08077216 completed May 2, 2026, 4:19 p.m.
Created at: April 8, 2026, 9:53 p.m.