Triple

T7990132
Position Surface form Disambiguated ID Type / Status
Subject Charles Larkey E185979 entity
Predicate associatedWith P37 FINISHED
Object Jo Mama E702844 NE FINISHED

How this triple was built (2 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: Jo Mama | Statement: [Charles Larkey, associatedWith, Jo Mama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Mama
Context triple: [Charles Larkey, associatedWith, Jo Mama]
  • A. Jo Mama chosen
    Jo Mama was an early 1970s American rock band known for its work in the soft rock and singer-songwriter scene, featuring bassist Charles Larkey and collaborating with artists like Carole King.
  • B. Madea
    Madea is a tough, loud, and sharp-tongued matriarch created and portrayed by Tyler Perry, known for her comedic yet heartfelt role in a series of stage plays and films.
  • C. Roro Chu
    Roro Chu is a river flowing in the region of Gangtok in the Indian state of Sikkim.
  • D. Yaya
    Yaya is a character from the animated franchise "Trollz," known as one of the magical troll girls in the series’ friendship-focused adventures.
  • E. Pootie Tang
    Pootie Tang is a 2001 satirical comedy film, based on a sketch from The Chris Rock Show, about a cool, nonsensical hero who battles corporate exploitation of inner-city youth.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc568393008190b8ff6cc17f9b5c46 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:16 p.m.