Triple

T13609144
Position Surface form Disambiguated ID Type / Status
Subject George Wendt E325140 entity
Predicate appearedIn P795 FINISHED
Object Forever Young E791649 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: Forever Young | Statement: [George Wendt, appearedIn, Forever Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forever Young
Context triple: [George Wendt, appearedIn, Forever Young]
  • A. Forever Young
    "Forever Young" is a synth-pop and R&B-influenced song by British artist Mr Hudson that reflects on youth, time, and nostalgia.
  • B. Forever Young
    "Forever Young" is a popular 1988 rock ballad by Rod Stewart that reflects on parental love, hope, and blessings for a child's future.
  • C. Forever Young chosen
    Forever Young is a 1992 romantic science fiction drama film starring Mel Gibson as a test pilot who is cryogenically frozen and awakens decades later.
  • D. Forever Young
    "Forever Young" is a film featuring Taiwanese actor Chang Chen, known for his acclaimed performances in Asian and international cinema.
  • E. Forever Love
    "Forever Love" is a 1996 pop ballad by British singer-songwriter Gary Barlow, known for its heartfelt lyrics and for being one of his most successful solo singles after Take That.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f98286c8190a866b5edc21f1225 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.