Triple

T13005544
Position Surface form Disambiguated ID Type / Status
Subject Lena Younger E322276 entity
Predicate alsoKnownAs P39 FINISHED
Object 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."
 E1020161 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 | Statement: [Lena Younger, alsoKnownAs, Mama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mama
Context triple: [Lena Younger, alsoKnownAs, Mama]
  • 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 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.
  • C. 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.
  • 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 popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
  • 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
Triple: [Lena Younger, alsoKnownAs, Mama]
Generated description
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."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mama
Target entity description: 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."
  • 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 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.
  • D. Mama
    "Mama" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
  • E. 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.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9b27ec8190815c40a05b9ba7d0 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f6c4e081909f035260462015b1 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d9cddf548190b43fe4edd7332957 completed May 3, 2026, 5:14 a.m.
NED2 Entity disambiguation (via description) batch_69f6da5b7098819092feb7064d5e7755 completed May 3, 2026, 5:17 a.m.
Created at: April 9, 2026, 8:48 p.m.