Triple

T4953508
Position Surface form Disambiguated ID Type / Status
Subject 1. FC Heidenheim E111224 entity
Predicate headCoach P256 FINISHED
Object Frank Schmidt E394325 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: Frank Schmidt | Statement: [1. FC Heidenheim, headCoach, Frank Schmidt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Schmidt
Context triple: [1. FC Heidenheim, headCoach, Frank Schmidt]
  • A. Frank Schmidt chosen
    Frank Schmidt is a German football manager and former defender best known for his long-term tenure transforming 1. FC Heidenheim from lower leagues into a Bundesliga club.
  • B. Paul Schmidt
    Paul Schmidt is a relatively common personal name shared by multiple notable individuals across fields such as science, sports, and the arts.
  • C. Walter Scheib
    Walter Scheib was an American chef best known for serving as the White House Executive Chef for the Clinton and George W. Bush administrations.
  • D. Ron Schmidt
    Ron Schmidt is a television producer best known for his executive production work on major series such as the Game of Thrones prequel "House of the Dragon."
  • E. Harold Schmidt
    Harold Schmidt is a relatively obscure individual whose name is shared with several people, including professionals in fields such as sports, academia, and the arts.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b82dd88190adfb08c3b3191fe0 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0daa53481908c705ca3698ab777 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:31 p.m.