Triple

T8116189
Position Surface form Disambiguated ID Type / Status
Subject Please E189479 entity
Predicate includesTrack P3284 FINISHED
Object Opportunities (Let’s Make Lots of Money) E189467 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: Opportunities (Let’s Make Lots of Money) | Statement: [Please, includesTrack, Opportunities (Let’s Make Lots of Money)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opportunities (Let’s Make Lots of Money)
Context triple: [Please, includesTrack, Opportunities (Let’s Make Lots of Money)]
  • A. Opportunities (Let’s Make Lots of Money) chosen
    "Opportunities (Let’s Make Lots of Money)" is a synth-pop song by the English duo Pet Shop Boys that satirically explores themes of greed and materialism.
  • B. Opportunitas
    Opportunitas is the Latin motto of Pace University, emphasizing opportunity and access to education.
  • C. Get Your Money Up
    "Get Your Money Up" is a hip-hop track featured on the album "Undisputed."
  • D. Money Maker
    "Money Maker" is a popular hip hop single by Ludacris featuring Pharrell, known for its club-friendly beat and commercial success in the mid-2000s.
  • E. The Land of Opportunity
    The Land of Opportunity is a former promotional nickname for the U.S. state of Arkansas, highlighting its economic potential and prospects for growth.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43320bf881909f97a235451bb3a4 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbea5d39c819099d52545410ae564 completed April 1, 2026, 6:43 a.m.
Created at: March 30, 2026, 5:33 p.m.