Triple

T14956272
Position Surface form Disambiguated ID Type / Status
Subject Karen Eiffel E372935 entity
Predicate notableWorkInStory P4 FINISHED
Object Death and Taxes E797256 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 and Taxes | Statement: [Karen Eiffel, notableWorkInStory, Death and Taxes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Death and Taxes
Context triple: [Karen Eiffel, notableWorkInStory, Death and Taxes]
  • A. Death and Taxes chosen
    "Death and Taxes" is a 1931 poetry collection by American writer Dorothy Parker, showcasing her characteristic wit, cynicism, and sharp social commentary.
  • B. After Taxes
    "After Taxes" is a 2005 studio album by American rapper Sheek Louch, showcasing his gritty East Coast hip-hop style and solo work outside of The LOX.
  • C. The Tax Collector
    The Tax Collector is a 2020 crime thriller film written and directed by David Ayer that follows a Los Angeles gangland “taxman” whose life is upended when a rival crime lord arrives.
  • D. Death Takes a Holiday
    Death Takes a Holiday is a 1934 romantic fantasy film in which Death assumes human form to understand why people fear him, directed by Mitchell Leisen.
  • E. The Taxpayer
    "The Taxpayer" is a short story by Ray Bradbury that follows a frustrated man desperate to escape Earth’s troubles by securing a place on a rocket to Mars.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cc73848190ac181782b20dc838 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9e74fc8190bdd10a25c39829f3 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:40 a.m.