Triple

T20325613
Position Surface form Disambiguated ID Type / Status
Subject Lolly Jonas E492326 entity
Predicate hasName P744 FINISHED
Object Lolly Jonas NE NERFINISHED

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: Lolly Jonas | Statement: [Lolly Jonas, hasName, Lolly Jonas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lolly Jonas
Context triple: [Lolly Jonas, hasName, Lolly Jonas]
  • A. Lolly Jonas chosen
    Lolly Jonas is the young protagonist of the novel "Sugar Hill," whose experiences and perspective drive the story’s exploration of family, identity, and coming of age.
  • B. Carly Evans
    Carly Evans is an American actress and the sister of actor Chris Evans.
  • C. The Veronicas
    The Veronicas are an Australian pop-rock duo of twin sisters Lisa and Jessica Origliasso, known for hits like "Untouched" and "4ever."
  • D. Aly & AJ
    Aly & AJ are an American pop rock duo of sisters Alyson and AJ Michalka, known for their mid-2000s Disney-affiliated hits and later indie-pop releases.
  • E. Frankie Jonas
    Frankie Jonas is an American actor and musician, often referred to as the "Bonus Jonas," known for his appearances on Disney Channel projects and his work as a voice actor and DJ.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778f20288190b1862d6be61bfb67 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:21 a.m.