Triple

T17185295
Position Surface form Disambiguated ID Type / Status
Subject 1000 Hurts E417090 entity
Predicate hasPart P35 FINISHED
Object Mama Gina
Mama Gina is a track from Shellac’s 2000 noise rock album "1000 Hurts."
 E1256316 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 Gina | Statement: [1000 Hurts, hasPart, Mama Gina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mama Gina
Context triple: [1000 Hurts, hasPart, Mama Gina]
  • A. 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.
  • B. Mama
    Mama is a recurring supporting character in the animated television series "Rocket Power," known for her role within the show's surfing and extreme-sports-centered world.
  • C. 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.
  • D. Mama
    Mama, whose full name is Lena Younger, is the strong, compassionate matriarch of the Younger family in Lorraine Hansberry’s play "A Raisin in the Sun."
  • E. Mama
    "Mama" is a popular song by Russian singer Vitas, known for showcasing his distinctive high vocal range and emotional performance style.
  • 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 Gina
Triple: [1000 Hurts, hasPart, Mama Gina]
Generated description
Mama Gina is a track from Shellac’s 2000 noise rock album "1000 Hurts."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mama Gina
Target entity description: Mama Gina is a track from Shellac’s 2000 noise rock album "1000 Hurts."
  • A. 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.
  • B. Mama
    Mama is a recurring supporting character in the animated television series "Rocket Power," known for her role within the show's surfing and extreme-sports-centered world.
  • C. 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.
  • D. Mama
    Mama, whose full name is Lena Younger, is the strong, compassionate matriarch of the Younger family in Lorraine Hansberry’s play "A Raisin in the Sun."
  • E. Mama
    "Mama" is a popular song by Russian singer Vitas, known for showcasing his distinctive high vocal range and emotional performance style.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d9556c881908ccaee4ef77dbe1f completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fcc424081908a7e74df0523443e completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a016184e0c0819099320b32bc471cad completed May 11, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0162692420819097b99a71ec470861 completed May 11, 2026, 5 a.m.
Created at: April 10, 2026, 5:37 a.m.