Triple

T14879594
Position Surface form Disambiguated ID Type / Status
Subject Forever Young E349962 entity
Predicate hasVersion P455 FINISHED
Object Forever Young (fast version) E1125357 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 (fast version) | Statement: [Forever Young, hasVersion, Forever Young (fast version)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forever Young (fast version)
Context triple: [Forever Young, hasVersion, Forever Young (fast version)]
  • A. Forever Young (slow version) chosen
    "Forever Young (slow version)" is a more subdued, ballad-style rendition of the song "Forever Young," emphasizing a gentler tempo and more reflective mood than the original.
  • 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
    "Forever Young" is a synth-pop and R&B-influenced song by British artist Mr Hudson that reflects on youth, time, and nostalgia.
  • D. 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.
  • E. Forever Young
    "Forever Young" is a film featuring Taiwanese actor Chang Chen, known for his acclaimed performances in Asian and international cinema.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72ac9f6481908f7b4f63a11fe16c completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 1:55 a.m.