Triple

T866472
Position Surface form Disambiguated ID Type / Status
Subject Most Powerful Women in Business E18713 entity
Predicate publisher P29 FINISHED
Object Fortune E3452 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: Fortune | Statement: [Most Powerful Women in Business, publisher, Fortune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortune
Context triple: [Most Powerful Women in Business, publisher, Fortune]
  • A. Fortune chosen
    Fortune is a long-running American business magazine known for its influential rankings such as the Fortune 500 and in-depth coverage of global economics and corporate leadership.
  • B. That Fortune
    "That Fortune" is a lesser-known novel by American essayist and editor Charles Dudley Warner, reflecting his characteristic blend of social observation and genteel humor.
  • C. Tyche
    Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
  • D. Oracle of Omaha
    The Oracle of Omaha is the famous nickname of legendary American investor Warren Buffett, renowned for his long-term value investing success and financial wisdom.
  • E. Galt
    Galt is a small city in Sacramento County, California, known for its residential communities and proximity to the Sacramento metropolitan area.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7cb1888190a46c16b30256451b completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c01af9608190b3b735c590024f03 completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.