Triple

T22824312
Position Surface form Disambiguated ID Type / Status
Subject Lilly Burns E565310 entity
Predicate notableWork P4 FINISHED
Object Younger 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: Younger | Statement: [Lilly Burns, notableWork, Younger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Younger
Context triple: [Lilly Burns, notableWork, Younger]
  • A. Younger chosen
    Younger is a television comedy-drama series about a 40-year-old woman who pretends to be in her twenties to reenter the competitive publishing industry.
  • B. Junger
    Junger is the surname of Sebastian Junger, an American author, journalist, and documentary filmmaker known for works like "The Perfect Storm" and "Restrepo."
  • C. Young
    Young is a common English surname borne by numerous notable individuals across diverse fields such as politics, civil rights, science, and the arts.
  • D. Young
    "Young" is the dance-pop debut solo single by British singer Tulisa Contostavlos, released in 2012 and known for its catchy chorus and chart-topping success in the UK.
  • E. Young
    Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dd34a248190881f2bccdd9aedce completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:34 p.m.