Triple

T8799139
Position Surface form Disambiguated ID Type / Status
Subject Liesl E209356 entity
Predicate nameVariantOf P39 FINISHED
Object Liesel E322817 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: Liesel | Statement: [Liesl, nameVariantOf, Liesel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liesel
Context triple: [Liesl, nameVariantOf, Liesel]
  • A. Liesel Meminger chosen
    Liesel Meminger is a courageous young girl in Nazi Germany who discovers the power of words and storytelling while coping with loss, war, and the horrors of the Holocaust.
  • B. Liesel Matthews
    Liesel Matthews is an American former child actress best known for her lead role in the 1995 film "A Little Princess" and for starring in "Air Force One."
  • C. Betsie
    Betsie is the commonly used nickname of Betsie Verwoerd, the wife of former South African Prime Minister Hendrik Verwoerd.
  • D. Gretel Walter
    Gretel Walter was the daughter of renowned German-born conductor Bruno Walter.
  • E. Oskar Matzerath
    Oskar Matzerath is the unnervingly precocious, self-willed dwarf who narrates Günter Grass’s novel *The Tin Drum*, famous for his refusal to grow and his piercing scream that shatters glass.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fb7491c8190bcdb98d6cc003d9e completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f658f248190957eba821b07cc4f completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:44 p.m.