Triple

T11480919
Position Surface form Disambiguated ID Type / Status
Subject Deborah Sharp E272143 entity
Predicate wrote P2831 FINISHED
Object Mama Does Time
Mama Does Time is a humorous mystery novel featuring a Florida-based, middle-aged heroine entangled in small-town crime and family drama.
 E928513 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 Does Time | Statement: [Deborah Sharp, wrote, Mama Does Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mama Does Time
Context triple: [Deborah Sharp, wrote, Mama Does Time]
  • A. Tell Mama
    "Tell Mama" is a 1967 soul and R&B song by Etta James, celebrated for its powerful vocals and status as one of her signature hits.
  • B. Momma
    "Momma" is a reflective, jazz-infused hip-hop track by Kendrick Lamar from his critically acclaimed album *To Pimp a Butterfly*, exploring themes of identity, home, and self-discovery.
  • C. 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.
  • D. So Long Mama
    "So Long Mama" is a song by American country artist Ricky Nelson, released as the B-side to his 1972 hit single "Garden Party."
  • E. Sweet Mama
    Sweet Mama is a recurring comedic segment featured in the television game show "Win, Lose or Draw."
  • 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 Does Time
Triple: [Deborah Sharp, wrote, Mama Does Time]
Generated description
Mama Does Time is a humorous mystery novel featuring a Florida-based, middle-aged heroine entangled in small-town crime and family drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mama Does Time
Target entity description: Mama Does Time is a humorous mystery novel featuring a Florida-based, middle-aged heroine entangled in small-town crime and family drama.
  • A. Tell Mama
    "Tell Mama" is a 1967 soul and R&B song by Etta James, celebrated for its powerful vocals and status as one of her signature hits.
  • B. Momma
    "Momma" is a reflective, jazz-infused hip-hop track by Kendrick Lamar from his critically acclaimed album *To Pimp a Butterfly*, exploring themes of identity, home, and self-discovery.
  • C. 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.
  • D. So Long Mama
    "So Long Mama" is a song by American country artist Ricky Nelson, released as the B-side to his 1972 hit single "Garden Party."
  • E. Sweet Mama
    Sweet Mama is a recurring comedic segment featured in the television game show "Win, Lose or Draw."
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294f0e948190b2e106beb86e4b2c completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e60434966c81909a277b6a0fd9f358 completed April 20, 2026, 10:47 a.m.
NEDg Description generation batch_69e610a5ea0481908169c58dc0831b76 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e6182b06f88190ab36d976ac989019 completed April 20, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:36 p.m.