Triple

T17460921
Position Surface form Disambiguated ID Type / Status
Subject Internet Money E425148 entity
Predicate hasMember P10 FINISHED
Object Perdu
Perdu is a music producer and member of the hip-hop/trap collective and production group Internet Money.
 E1270159 NE FINISHED

How this triple was built (4 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: Perdu | Statement: [Internet Money, hasMember, Perdu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Perdu
Context triple: [Internet Money, hasMember, Perdu]
  • A. Never Lost
    "Never Lost" is a song by American rapper Mudboy, known for its gritty production and introspective lyrics.
  • B. Lost in the Wilderness
    "Lost in the Wilderness" is a standout musical theater song from the Broadway show *Children of Eden*, known for its powerful vocals and themes of searching and self-discovery.
  • C. Lost One
    "Lost One" is a soulful R&B song by Chrisette Michele that showcases her emotive vocals and introspective lyricism about love and regret.
  • D. For Those Lost
    For Those Lost is a socially conscious musical work by jazz pianist and composer Samora Pinderhughes that reflects his signature blend of political commentary and emotional storytelling.
  • E. The Lost Country
    The Lost Country is a novel by J. R. Salamanca that served as the literary basis for the 1961 Elvis Presley film "Wild in the Country."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Perdu
Triple: [Internet Money, hasMember, Perdu]
Generated description
Perdu is a music producer and member of the hip-hop/trap collective and production group Internet Money.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Perdu
Target entity description: Perdu is a music producer and member of the hip-hop/trap collective and production group Internet Money.
  • A. Never Lost
    "Never Lost" is a song by American rapper Mudboy, known for its gritty production and introspective lyrics.
  • B. Lost in the Wilderness
    "Lost in the Wilderness" is a standout musical theater song from the Broadway show *Children of Eden*, known for its powerful vocals and themes of searching and self-discovery.
  • C. Lost One
    "Lost One" is a soulful R&B song by Chrisette Michele that showcases her emotive vocals and introspective lyricism about love and regret.
  • D. For Those Lost
    For Those Lost is a socially conscious musical work by jazz pianist and composer Samora Pinderhughes that reflects his signature blend of political commentary and emotional storytelling.
  • E. The Lost Country
    The Lost Country is a novel by J. R. Salamanca that served as the literary basis for the 1961 Elvis Presley film "Wild in the Country."
  • F. None of above. chosen

Provenance (5 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a3031c8190ab1dd0d41b002dd2 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01b82206d08190939e1d5f8d31ec6f completed May 11, 2026, 11:06 a.m.
NEDg Description generation batch_6a01b8c906ec8190ae9e56b3bdb97fe4 completed May 11, 2026, 11:08 a.m.
NED2 Entity disambiguation (via description) batch_6a01b9343028819082933b51bb092b3d completed May 11, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:47 a.m.