Triple

T14690649
Position Surface form Disambiguated ID Type / Status
Subject 100 Monkeys E345023 entity
Predicate hasRecording P9348 FINISHED
Object "Grape"
"Grape" is a song recorded by the experimental rock band 100 Monkeys.
E1114284 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: "Grape" | Statement: [100 Monkeys, hasRecording, "Grape"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Grape"
Context triple: [100 Monkeys, hasRecording, "Grape"]
  • A. Grapejuice
    Grapejuice is a song by Harry Styles from his 2022 album "Harry's House," known for its mellow, retro-pop sound and introspective lyrics.
  • B. Grapevyne
    Grapevyne is a smooth, soulful R&B song by the American group Brownstone, known for its rich harmonies and mid-1990s slow-jam style.
  • C. A Few Grapes
    "A Few Grapes" is a song by American rapper BlocBoy JB, known for its energetic delivery and trap-influenced production.
  • D. Grapevine
    Grapevine is a small unincorporated community located in Berkeley County, West Virginia.
  • E. Grapevine
    Grapevine is a suburban city in the Dallas–Fort Worth metropolitan area known for its historic downtown, wineries, and proximity to Dallas/Fort Worth International Airport.
  • 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: "Grape"
Triple: [100 Monkeys, hasRecording, "Grape"]
Generated description
"Grape" is a song recorded by the experimental rock band 100 Monkeys.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: "Grape"
Target entity description: "Grape" is a song recorded by the experimental rock band 100 Monkeys.
  • A. Grapejuice
    Grapejuice is a song by Harry Styles from his 2022 album "Harry's House," known for its mellow, retro-pop sound and introspective lyrics.
  • B. Grapevyne
    Grapevyne is a smooth, soulful R&B song by the American group Brownstone, known for its rich harmonies and mid-1990s slow-jam style.
  • C. A Few Grapes
    "A Few Grapes" is a song by American rapper BlocBoy JB, known for its energetic delivery and trap-influenced production.
  • D. Grapevine
    Grapevine is a small unincorporated community located in Berkeley County, West Virginia.
  • E. Grapevine
    Grapevine is a suburban city in the Dallas–Fort Worth metropolitan area known for its historic downtown, wineries, and proximity to Dallas/Fort Worth International Airport.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde189771c81909289b8b044e32547 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde5fd6854819083957f2c653eb8b6 completed May 8, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69fde6ffc27881909427d24560011cdf completed May 8, 2026, 1:37 p.m.
Created at: April 10, 2026, 1:28 a.m.