Triple

T20305586
Position Surface form Disambiguated ID Type / Status
Subject John Carter Cash E505600 entity
Predicate notableWork P4 FINISHED
Object Momma Loves Her Little Son
"Momma Loves Her Little Son" is a children's book by John Carter Cash that celebrates the tender bond and unconditional love between a mother and her young son.
E1423046 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: Momma Loves Her Little Son | Statement: [John Carter Cash, notableWork, Momma Loves Her Little Son]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Momma Loves Her Little Son
Context triple: [John Carter Cash, notableWork, Momma Loves Her Little Son]
  • A. Mama's Boy
    "Mama's Boy" is a 2007 comedy film starring Jon Heder as an immature adult struggling to grow up when his widowed mother starts dating again.
  • B. Mama's Boy
    "Mama's Boy" is a track from the Ramones' 1984 punk rock album "Too Tough to Die."
  • C. Momma
    Momma is a track featured on the hip-hop album "Yellow Tape."
  • D. 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.
  • E. Mama’s Love
    "Mama’s Love" is a song featured on the album *Epistles of Mama*, likely reflecting themes of maternal affection and tribute.
  • 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: Momma Loves Her Little Son
Triple: [John Carter Cash, notableWork, Momma Loves Her Little Son]
Generated description
"Momma Loves Her Little Son" is a children's book by John Carter Cash that celebrates the tender bond and unconditional love between a mother and her young son.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Momma Loves Her Little Son
Target entity description: "Momma Loves Her Little Son" is a children's book by John Carter Cash that celebrates the tender bond and unconditional love between a mother and her young son.
  • A. Mama's Boy
    "Mama's Boy" is a 2007 comedy film starring Jon Heder as an immature adult struggling to grow up when his widowed mother starts dating again.
  • B. Mama's Boy
    "Mama's Boy" is a track from the Ramones' 1984 punk rock album "Too Tough to Die."
  • C. Momma
    Momma is a track featured on the hip-hop album "Yellow Tape."
  • D. 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.
  • E. Mama’s Love
    "Mama’s Love" is a song featured on the album *Epistles of Mama*, likely reflecting themes of maternal affection and tribute.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773f8f688190b616f972b9bbb28e completed April 20, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08611c2f248190bf7c69536022ee8a completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a0862421d9c8190bcc0c2c6dc1e9936 completed May 16, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a08632b4618819085a4cc20aa297c70 completed May 16, 2026, 12:29 p.m.
Created at: April 16, 2026, 11:18 a.m.