Triple

T13517993
Position Surface form Disambiguated ID Type / Status
Subject Liesel Meminger E322817 entity
Predicate fictionalLocation P18263 FINISHED
Object Molching E322816 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: Molching | Statement: [Liesel Meminger, fictionalLocation, Molching]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molching
Context triple: [Liesel Meminger, fictionalLocation, Molching]
  • A. Molching chosen
    Molching is a fictional small German town near Munich that serves as the primary backdrop for Markus Zusak’s World War II novel "The Book Thief."
  • B. Milquetoast
    "Milquetoast" is a popular alternative metal song by the American band Helmet, known for its heavy, riff-driven sound and association with the 1990s post-hardcore scene.
  • C. Blatching
    Blatching is a Quidditch foul in the Harry Potter universe involving a player flying with intent to collide with an opponent.
  • D. Stinker
    Stinker is a derisive nickname given to the character Gollum in J.R.R. Tolkien’s Middle-earth legendarium, particularly in The Lord of the Rings.
  • E. Stinker
    Stinker is the nickname of Harold "Stinker" Pinker, likely used as an informal or humorous moniker.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa27f048190bed33a98e28c8d09 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75496496c819093a9e763d293bcf7 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.