Triple

T22288587
Position Surface form Disambiguated ID Type / Status
Subject MLS Cup 1996 E550928 entity
Predicate goalScorer P2695 FINISHED
Object Tony Sanneh 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: Tony Sanneh | Statement: [MLS Cup 1996, goalScorer, Tony Sanneh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Sanneh
Context triple: [MLS Cup 1996, goalScorer, Tony Sanneh]
  • A. Tony Sanneh chosen
    Tony Sanneh is a retired American soccer defender best known for his key role with the U.S. national team at the 2002 FIFA World Cup and his career in Major League Soccer and the German Bundesliga.
  • B. Victor Mensah
    Victor Mensah is a writer known for his work associated with the Wolverhampton Wanderers football club (Wolves).
  • C. Emmanuel Dadzie
    Emmanuel Dadzie was a prominent Ghanaian diplomat who served in key roles at the United Nations and in Ghana’s foreign service during the mid-20th century.
  • D. Atta Kwami
    Atta Kwami was a Ghanaian painter, printmaker, and art historian known for his vibrant abstract works and significant contributions to contemporary African art.
  • E. Samson Dauda
    Samson Dauda is a Nigerian-born British professional bodybuilder known for his elite IFBB Pro League status and major victories on the international bodybuilding stage.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15609854c81908adb7681cff2c404 completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:41 p.m.