Triple

T6540476
Position Surface form Disambiguated ID Type / Status
Subject Louise Lasser E168272 entity
Predicate notableWork P4 FINISHED
Object Take the Money and Run E254213 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: Take the Money and Run | Statement: [Louise Lasser, notableWork, Take the Money and Run]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Take the Money and Run
Context triple: [Louise Lasser, notableWork, Take the Money and Run]
  • A. Take the Money and Run chosen
    Take the Money and Run is a 1969 mockumentary-style crime comedy film written, directed by, and starring Woody Allen as an inept, small-time criminal.
  • B. Take the Money and Crawl
    "Take the Money and Crawl" is a song from the album *Father of All Motherfuckers* by the American rock band Green Day.
  • C. A Truck Full of Money
    A Truck Full of Money is a nonfiction book by Tracy Kidder that profiles tech entrepreneur Paul English and explores the culture, psychology, and volatility of startup success.
  • D. Blood Money
    Blood Money is a dark, theatrical 2002 album by Tom Waits, known for its cabaret-style songs and lyrics drawn from the play "Woyzeck."
  • E. Blood Money
    Blood Money is a 2006 studio album by Queensbridge hip-hop duo Mobb Deep, known for its gritty street narratives and as their first release under G-Unit Records.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add7369c8190919cd7c07012a994 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d53edf108190b74098b41c143a65 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:50 p.m.