Triple

T8944382
Position Surface form Disambiguated ID Type / Status
Subject Steve Cherundolo E213184 entity
Predicate employer P7 FINISHED
Object Hannover 96 E130429 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: Hannover 96 | Statement: [Steve Cherundolo, employer, Hannover 96]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannover 96
Context triple: [Steve Cherundolo, employer, Hannover 96]
  • A. Hannover 96 chosen
    Hannover 96 is a professional German football club based in Hanover, best known for competing in the Bundesliga and having a long history dating back to the late 19th century.
  • B. Hamburger SV
    Hamburger SV is a historic German football club based in Hamburg, known for its long-standing presence in the Bundesliga and passionate fan base.
  • C. Eintracht Braunschweig
    Eintracht Braunschweig is a historic German sports club best known for its football team, which has competed in the Bundesliga and won the German championship in 1967.
  • D. Hertha BSC
    Hertha BSC is a professional football club from Berlin, Germany, that competes in the German league system and is one of the country’s oldest and most historic teams.
  • E. Eintracht Frankfurt
    Eintracht Frankfurt is a professional German football club best known for competing in the Bundesliga and winning multiple domestic and European titles.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66da71808190b4454b2f95aae0bd completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd099b2f48190b81d6747bad4b992 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 6:59 p.m.