Triple

T19620017
Position Surface form Disambiguated ID Type / Status
Subject Adrian Hasler E470979 entity
Predicate familyName P18 FINISHED
Object Hasler NE NERFINISHED

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: Hasler | Statement: [Adrian Hasler, familyName, Hasler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasler
Context triple: [Adrian Hasler, familyName, Hasler]
  • A. Hasler chosen
    Hasler is a Germanic surname commonly found in German-speaking countries and among people of German, Swiss, or Austrian descent.
  • B. Haslinger
    Haslinger is a German-language surname borne by various notable individuals, including artists and composers.
  • C. Heissler
    Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
  • D. Hassler
    Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
  • E. Hauerz
    Hauerz is a village and district of the spa town Bad Wurzach in the Ravensburg district of Baden-Württemberg, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e512d08190a76bf81b3282e0e5 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.