Triple

T3066800
Position Surface form Disambiguated ID Type / Status
Subject The Book Thief E62121 entity
Predicate narrator P2181 FINISHED
Object Death E249780 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: Death | Statement: [The Book Thief, narrator, Death]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Death
Context triple: [The Book Thief, narrator, Death]
  • A. Death
    Death is an American proto-punk band from Detroit, formed in the early 1970s and later recognized as a pioneering influence on punk rock.
  • B. Death chosen
    Death is the universal, irreversible cessation of life that marks the end of an organism’s biological functions and is a central theme in philosophy, religion, and mythology.
  • C. Mrityu
    Mrityu is a personification of death in Hindu mythology, closely associated with the god Yama as an embodiment of mortality and the end of life.
  • D. Death and Disaster
    Death and Disaster is a series of artworks by Andy Warhol that explores themes of mortality, violence, and tragedy through repeated, often shocking mass-media imagery.
  • E. Mrityukshuda
    Mrityukshuda is a Bengali novel by Kazi Nazrul Islam that explores themes of poverty, social injustice, and revolutionary struggle in early 20th-century Bengal.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fd87308190918e7b616f033faa completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef16cf2881908265dfe8a1e3424d completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.