Triple

T21960574
Position Surface form Disambiguated ID Type / Status
Subject Blatter family E542315 entity
Predicate hasMember P10 FINISHED
Object Marco Blatter NE NERFINISHED

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: Marco Blatter | Statement: [Blatter family, hasMember, Marco Blatter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marco Blatter
Context triple: [Blatter family, hasMember, Marco Blatter]
  • A. Marco Blatter chosen
    Marco Blatter is the brother of former FIFA president Sepp Blatter and a member of the Blatter family from Switzerland.
  • B. Sepp Blatter
    Sepp Blatter is a Swiss football administrator best known for serving as the long-time and controversial president of FIFA.
  • C. João Havelange
    João Havelange was a Brazilian sports administrator who served as the long-time president of FIFA and played a major role in globalizing and commercializing world football.
  • D. Laurent Platini
    Laurent Platini is the son of legendary French footballer and former UEFA president Michel Platini.
  • E. Gianni Infantino
    Gianni Infantino is a Swiss-Italian football administrator who serves as the president of FIFA, the global governing body of soccer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12455e99c819092ec59fe571f814e completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8 p.m.