Triple

T14046489
Position Surface form Disambiguated ID Type / Status
Subject Lighting Up the Sky E337968 entity
Predicate hasPart P35 FINISHED
Object Growing Old
"Growing Old" is a song featured on the album *Lighting Up the Sky* by the American rock band Godsmack.
E1076086 NE FINISHED

How this triple was built (4 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: Growing Old | Statement: [Lighting Up the Sky, hasPart, Growing Old]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Growing Old
Context triple: [Lighting Up the Sky, hasPart, Growing Old]
  • A. Just Older
    "Just Older" is a rock song by Bon Jovi from their 2000 album "Crush," reflecting on aging and maturity with a nostalgic yet upbeat tone.
  • B. Grow Old With You
    "Grow Old With You" is a romantic ballad performed by Adam Sandler in the film *The Wedding Singer*, known for its sweet, humorous lyrics about lifelong love.
  • C. Grow Old With Me
    Grow Old With Me is the original working title of Isaac Asimov’s science fiction novel "Pebble in the Sky."
  • D. Voices of Old People
    Voices of Old People is an experimental sound collage track by Simon & Garfunkel that features recorded conversations and ambient sounds of elderly people, reflecting themes of aging and memory.
  • E. Old Age
    "Old Age" is an essay reflecting on the experiences, challenges, and philosophical significance of growing old.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Growing Old
Triple: [Lighting Up the Sky, hasPart, Growing Old]
Generated description
"Growing Old" is a song featured on the album *Lighting Up the Sky* by the American rock band Godsmack.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Growing Old
Target entity description: "Growing Old" is a song featured on the album *Lighting Up the Sky* by the American rock band Godsmack.
  • A. Just Older
    "Just Older" is a rock song by Bon Jovi from their 2000 album "Crush," reflecting on aging and maturity with a nostalgic yet upbeat tone.
  • B. Grow Old With You
    "Grow Old With You" is a romantic ballad performed by Adam Sandler in the film *The Wedding Singer*, known for its sweet, humorous lyrics about lifelong love.
  • C. Grow Old With Me
    Grow Old With Me is the original working title of Isaac Asimov’s science fiction novel "Pebble in the Sky."
  • D. Voices of Old People
    Voices of Old People is an experimental sound collage track by Simon & Garfunkel that features recorded conversations and ambient sounds of elderly people, reflecting themes of aging and memory.
  • E. Old Age
    "Old Age" is an essay reflecting on the experiences, challenges, and philosophical significance of growing old.
  • F. None of above. chosen

Provenance (5 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312df37081909f45ce3e219af5dc completed April 14, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34332448190b044f55f0f85d5e2 completed May 6, 2026, 10:40 p.m.
NEDg Description generation batch_69fc43623d608190bee3ebd08ffa01e6 completed May 7, 2026, 7:46 a.m.
NED2 Entity disambiguation (via description) batch_69fc43e71f708190903a63388b664ba5 completed May 7, 2026, 7:48 a.m.
Created at: April 9, 2026, 10:20 p.m.