Triple

T11308087
Position Surface form Disambiguated ID Type / Status
Subject Boomiverse E267765 entity
Predicate hasPart P35 FINISHED
Object Freakanomics E790045 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: Freakanomics | Statement: [Boomiverse, hasPart, Freakanomics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freakanomics
Context triple: [Boomiverse, hasPart, Freakanomics]
  • A. Freakonomics chosen
    Freakonomics is a bestselling pop-economics book that uses unconventional case studies and data analysis to reveal surprising insights about human behavior and incentives.
  • B. SuperFreakonomics
    SuperFreakonomics is a popular economics book that uses unconventional data analysis and provocative case studies to explore human behavior and public policy.
  • C. Think Like a Freak
    Think Like a Freak is a popular non-fiction book by economist Steven Levitt and journalist Stephen Dubner that applies unconventional, data-driven thinking to everyday problems and decision-making.
  • D. The Spirit Level
    The Spirit Level is a 1996 poetry collection by Nobel laureate Seamus Heaney that reflects on balance, memory, and the political and personal landscapes of Ireland.
  • E. Outliers
    Outliers is a bestselling non-fiction book by Malcolm Gladwell that explores the hidden factors and cultural contexts that contribute to high levels of success.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9bf87d88190904c2d174578ebbf completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a70022081908bc74185003a3503 completed April 19, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:32 p.m.