Triple

T11476611
Position Surface form Disambiguated ID Type / Status
Subject Seleção E272038 entity
Predicate famousPlayer P9730 FINISHED
Object Zico E272041 NE FINISHED

How this triple was built (2 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: [Seleção, famousPlayer, Zico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zico
Context triple: [Seleção, famousPlayer, Zico]
  • A. Zico chosen
    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.
  • B. J-Kwon
    J-Kwon is an American rapper best known for his 2004 hit single "Tipsy."
  • C. Zico Carioca
    Zico Carioca is a lesser-known Disney comic character from Brazil, depicted as a young parrot relative of José Carioca who often appears in Brazilian Disney stories.
  • D. Kitack
    Kitack is a South Korean maritime lawyer and civil servant best known for serving as Secretary-General of the International Maritime Organization (IMO).
  • E. Seungkwan
    Seungkwan is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful vocals, variety show presence, and bright personality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294e0fe08190b018e840146e27ca completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e965eebc8190822247b1abc13483 completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:36 p.m.