Triple

T2523370
Position Surface form Disambiguated ID Type / Status
Subject MLS All-Star E55575 entity
Predicate hasAwarded P2391 FINISHED
Object Kaka E139007 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: Kaka | Statement: [MLS All-Star, hasAwarded, Kaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaka
Context triple: [MLS All-Star, hasAwarded, Kaka]
  • 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. Kaká chosen
    Kaká is a retired Brazilian attacking midfielder renowned for his playmaking brilliance, Ballon d'Or win, and starring roles for AC Milan, Real Madrid, and the Brazil national team.
  • C. Vavá
    Vavá was a prolific Brazilian striker renowned for scoring in two consecutive World Cup finals and helping Brazil win the 1958 and 1962 tournaments.
  • D. Ka Felix
    Ka Felix is the honorific title commonly used for Felix Y. Manalo, the founder and first executive minister of the Iglesia ni Cristo.
  • E. Davo
    Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd23a0a548190b44393e0f823f7a9 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2ba96a0c819091efd6d4ccf95ea5 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.