Triple

T16892676
Position Surface form Disambiguated ID Type / Status
Subject Roderick David Stewart E424213 entity
Predicate notableWork P4 FINISHED
Object Forever Young E421093 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: [Roderick David Stewart, notableWork, Forever Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forever Young
Context triple: [Roderick David Stewart, notableWork, 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 chosen
    "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
    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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc6b97c8190b18aca477d6ef647 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a7fd8481908ef82a13418b1c2d completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.