Triple

T11668499
Position Surface form Disambiguated ID Type / Status
Subject Harvey Comics E277313 entity
Predicate notableCharacter P1481 FINISHED
Object Little Lotta E939462 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: Little Lotta | Statement: [Harvey Comics, notableCharacter, Little Lotta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Lotta
Context triple: [Harvey Comics, notableCharacter, Little Lotta]
  • A. Little Lotta chosen
    Little Lotta is a Harvey Comics character best known as a cheerful, plus-sized girl with an enormous appetite and superhuman strength, often featured in humorous children’s comic stories.
  • B. Lil’ Kleine
    Lil’ Kleine is a Dutch rapper and media personality known for his chart-topping hip-hop hits and prominent presence on television talent shows.
  • C. Lulu
    Lulu is a central character in the 1999 British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
  • D. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • E. Lulu Bett
    Lulu Bett is the central character of Zona Gale's Pulitzer Prize-winning novel "Miss Lulu Bett," a quiet, self-effacing Midwestern woman whose constrained life and unexpected marriage spark a journey toward independence and self-realization.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a440d8a481909a13c97813408bc8 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82e252fc819082b5c8a33fcf861a completed April 27, 2026, 3:38 p.m.
Created at: April 8, 2026, 9:39 p.m.