Triple

T6759793
Position Surface form Disambiguated ID Type / Status
Subject Lee Gates E154560 entity
Predicate createdFor P7551 FINISHED
Object Money Monster (2016 film) E25136 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 Monster (2016 film) | Statement: [Lee Gates, createdFor, Money Monster (2016 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Money Monster (2016 film)
Context triple: [Lee Gates, createdFor, Money Monster (2016 film)]
  • A. Money Monster chosen
    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.
  • B. Dirty Money
    Dirty Money is an American hip hop and R&B girl group formed by Sean "Diddy" Combs, known for blending soulful vocals with contemporary rap and dance production.
  • C. Dirty Money
    "Dirty Money" is a track by rapper Pusha T from his critically acclaimed 2006 album *Hell Hath No Fury*.
  • D. All the Money in the World
    All the Money in the World is a 2017 crime thriller film dramatizing the real-life 1973 kidnapping of John Paul Getty III and his billionaire grandfather’s notorious refusal to pay the ransom.
  • E. 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."
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d21143748190beaab2488971d65b completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a78feb8819084314c2ae043d289 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:12 p.m.