Triple

T5627261
Position Surface form Disambiguated ID Type / Status
Subject Dear Mama E147747 entity
Predicate bSide P15273 FINISHED
Object Old School E76732 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: Old School | Statement: [Dear Mama, bSide, Old School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old School
Context triple: [Dear Mama, bSide, Old School]
  • A. Old School chosen
    Old School is a 2003 comedy film about three middle-aged men who start a fraternity near their old college, starring Will Ferrell, Luke Wilson, and Vince Vaughn.
  • B. My Old School
    "My Old School" is a jazz-rock song by Steely Dan, known for its intricate arrangements, sardonic lyrics, and storytelling about a notorious college-era incident.
  • C. Olden
    Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
  • D. Old Fashioned
    Old Fashioned is a classic American whiskey cocktail typically made with bourbon or rye, sugar, bitters, and a citrus twist, served over ice.
  • E. Old Q
    Old Q was the popular nickname of William Douglas, 4th Duke of Queensberry, an 18th-century Scottish nobleman notorious in London society for his immense wealth, gambling, and libertine lifestyle.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02239500c8190ad3035e44c3b0670 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d654c6c819087c1bcb4eb9530d0 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:40 p.m.