Triple

T10892053
Position Surface form Disambiguated ID Type / Status
Subject ESV Kaufbeuren E257201 entity
Predicate notablePlayerDeveloped P9670 FINISHED
Object Hans Zach E319514 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: Hans Zach | Statement: [ESV Kaufbeuren, notablePlayerDeveloped, Hans Zach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Zach
Context triple: [ESV Kaufbeuren, notablePlayerDeveloped, Hans Zach]
  • A. Hans Zach chosen
    Hans Zach is a prominent German ice hockey coach and former player known for leading several top clubs and the German national team.
  • B. Hans Klein
    Hans Klein was the son of pioneering psychoanalyst Melanie Klein, whose troubled relationship with him significantly influenced her theories on object relations and early childhood development.
  • C. Hans Weiss
    Hans Weiss is a relatively common German personal name shared by multiple individuals, including figures in fields such as literature, journalism, and the arts.
  • D. Carl Hilpert
    Carl Hilpert was a German Wehrmacht general during World War II who held several high-level commands on the Eastern Front.
  • E. Hans Charles
    Hans Charles is a cinematographer best known for his work on Ava DuVernay’s documentary "13th," which examines racial inequality and mass incarceration in the United States.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75206354881908b148f2df3938513 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2169ea02c8190addf125ec5adafe8 completed April 17, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:21 p.m.