Triple

T13517893
Position Surface form Disambiguated ID Type / Status
Subject Markus Zusak E322815 entity
Predicate familyName P18 FINISHED
Object Zusak E322815 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: Zusak | Statement: [Markus Zusak, familyName, Zusak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zusak
Context triple: [Markus Zusak, familyName, Zusak]
  • A. Markus Zusak chosen
    Markus Zusak is an Australian novelist best known for his internationally acclaimed World War II–set novel "The Book Thief."
  • B. Yann Martel
    Yann Martel is a Canadian author best known for his philosophical novel "Life of Pi," which achieved international acclaim and widespread popularity.
  • C. Mark Haddon
    Mark Haddon is a British author best known for his award-winning novel "The Curious Incident of the Dog in the Night-Time," which has been widely acclaimed and adapted for stage and screen.
  • D. Mitchell Burgess
    Mitchell Burgess is an American television writer and producer best known for his work on the acclaimed HBO series *The Sopranos*.
  • E. Lois Lowry
    Lois Lowry is an American author best known for her award-winning young adult novels such as "The Giver" and "Number the Stars."
  • 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_69f75d93a2608190a3a693bf4086a010 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.