Triple

T7722108
Position Surface form Disambiguated ID Type / Status
Subject Kevin Keegan E175036 entity
Predicate playedFor P2170 FINISHED
Object Hamburger SV E44345 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: Hamburger SV | Statement: [Kevin Keegan, playedFor, Hamburger SV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburger SV
Context triple: [Kevin Keegan, playedFor, Hamburger SV]
  • A. Hamburger SV chosen
    Hamburger SV is a historic German football club based in Hamburg, known for its long-standing presence in the Bundesliga and passionate fan base.
  • B. Hannover 96
    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.
  • 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. SV Darmstadt 98
    SV Darmstadt 98 is a German professional football club based in Darmstadt, best known for competing in the country’s top two leagues and its passionate local fanbase.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702f1786881908b025d8986e5f1fa completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b51b612881909f20a6b777db348c completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:05 p.m.