Triple

T20742619
Position Surface form Disambiguated ID Type / Status
Subject High Windows E510480 entity
Predicate hasPoem P21160 FINISHED
Object Money NE NERFINISHED

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 | Statement: [High Windows, hasPoem, Money]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Money
Context triple: [High Windows, hasPoem, Money]
  • A. Money
    "Money" is a well-known musical number from the stage production Cabaret that satirically explores greed and the corrupting influence of wealth.
  • B. Money chosen
    Money is a medium of exchange and store of value used to facilitate trade, measure worth, and save wealth in economies worldwide.
  • C. Money
    "Money" is a track by Nigerian rapper Olamide from his debut studio album "YBNL," blending streetwise lyrics with Afro-hip hop production.
  • D. Money
    Money is a personal finance magazine and media brand that provides advice and information on investing, saving, budgeting, and financial planning for consumers.
  • E. Money
    "Money" is a track by American rapper Ludacris from his studio album *Ludaversal*.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c210a2c08190bd767df3188bb401 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.