Triple

T6478077
Position Surface form Disambiguated ID Type / Status
Subject Me Against the World E146121 entity
Predicate hasPart P35 FINISHED
Object Dear Mama E147747 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: Dear Mama | Statement: [Me Against the World, hasPart, Dear Mama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dear Mama
Context triple: [Me Against the World, hasPart, Dear Mama]
  • A. Dear Mama chosen
    "Dear Mama" is a heartfelt 1995 hip-hop song by Tupac Shakur that pays tribute to his mother and is widely regarded as one of his most iconic and emotional works.
  • B. 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.
  • C. Hey Mama
    "Hey Mama" is an emotional hip-hop song by Kanye West dedicated to his mother, celebrating her sacrifices and their close relationship.
  • D. Hey Mama
    "Hey Mama" is a hit hip hop/dance-pop single by the Black Eyed Peas known for its reggae-influenced sound and prominent use in early 2000s media and advertising.
  • E. 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.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a4d35f08190a94143367b1d45c5 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66382f9ac81908d9cb444ab596d04 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:51 p.m.