Triple

T10040254
Position Surface form Disambiguated ID Type / Status
Subject Get Hurt E205275 entity
Predicate hasPart P35 FINISHED
Object “Mama’s Boys”
“Mama’s Boys” is a song by the American rock band Get Hurt, featured on their self-titled debut album.
E836850 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: “Mama’s Boys” | Statement: [Get Hurt, hasPart, “Mama’s Boys”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Mama’s Boys”
Context triple: [Get Hurt, hasPart, “Mama’s Boys”]
  • A. Mama's Boy
    "Mama's Boy" is a track from the Ramones' 1984 punk rock album "Too Tough to Die."
  • B. Mama’s Gun
    Mama’s Gun is a critically acclaimed neo-soul album by Erykah Badu, known for its warm, live instrumentation and introspective, socially conscious songwriting.
  • C. Mama
    "Mama" is a 1987 debut novel by Terry McMillan that follows a resilient Black single mother struggling to raise her children and rebuild her life amid poverty and personal turmoil.
  • D. Mama
    Mama is a key supporting character in the video game "Death Stranding," a brilliant yet tragic scientist who aids protagonist Sam Porter Bridges with her expertise in chiral technology.
  • E. Mama
    "Mama" is a dark, emotionally intense 1983 song by the English rock band Genesis, known for its haunting atmosphere and Phil Collins's distinctive vocal delivery.
  • 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: “Mama’s Boys”
Triple: [Get Hurt, hasPart, “Mama’s Boys”]
Generated description
“Mama’s Boys” is a song by the American rock band Get Hurt, featured on their self-titled debut album.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: “Mama’s Boys”
Target entity description: “Mama’s Boys” is a song by the American rock band Get Hurt, featured on their self-titled debut album.
  • A. Mama's Boy
    "Mama's Boy" is a track from the Ramones' 1984 punk rock album "Too Tough to Die."
  • B. Mama’s Gun
    Mama’s Gun is a critically acclaimed neo-soul album by Erykah Badu, known for its warm, live instrumentation and introspective, socially conscious songwriting.
  • C. Mama
    "Mama" is a 1987 debut novel by Terry McMillan that follows a resilient Black single mother struggling to raise her children and rebuild her life amid poverty and personal turmoil.
  • D. Mama
    Mama is a 2013 supernatural horror film known for its eerie ghost story about two feral sisters and the mysterious maternal entity that follows them.
  • E. Mama
    Mama is a key supporting character in the video game "Death Stranding," a brilliant yet tragic scientist who aids protagonist Sam Porter Bridges with her expertise in chiral technology.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee2e6d881908cfa0579f9be32e4 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2827064108190b9079717a4eb98d6 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d2834f6d488190812f91a5b4971c1e completed April 5, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69d28432d900819091ff0d324a6bb28a completed April 5, 2026, 3:48 p.m.
Created at: March 30, 2026, 8:55 p.m.