Triple

T214005
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Engraving and Printing E4777 entity
Predicate hasNickName P39 FINISHED
Object Money Factory E4777 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: Money Factory | Statement: [Bureau of Engraving and Printing, hasNickName, Money Factory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Money Factory
Context triple: [Bureau of Engraving and Printing, hasNickName, Money Factory]
  • A. Money Factory chosen
    Money Factory is the popular nickname for the U.S. Bureau of Engraving and Printing, the federal agency responsible for designing and producing U.S. paper currency.
  • B. Revolution Money
    Revolution Money was a financial services company that offered low-fee payment and credit card solutions as an alternative to traditional card networks.
  • C. Big Nickel
    Big Nickel is a giant nine-metre-tall replica of a 1951 Canadian nickel and a famous roadside attraction located in Sudbury, Ontario.
  • D. Money Monster
    Money Monster is a 2016 American thriller film about a live financial TV show taken hostage on air, blending media satire with real-time suspense.
  • E. The Golden Palace
    The Golden Palace is a short-lived 1990s American sitcom that served as a spin-off and continuation of the popular series The Golden Girls, following several of the original characters as they run a Miami hotel.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c32ae208190a03d504ef43ea659 completed Feb. 28, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a338e980908190871a2236375de6bd completed Feb. 28, 2026, 6:50 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.