Triple

T17439583
Position Surface form Disambiguated ID Type / Status
Subject Dig Your Roots E424111 entity
Predicate track P17929 FINISHED
Object Grow Old
"Grow Old" is a country song by Florida Georgia Line featured on their album "Dig Your Roots," reflecting themes of lifelong love and commitment.
 E1268944 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: Grow Old | Statement: [Dig Your Roots, track, Grow Old]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grow Old
Context triple: [Dig Your Roots, track, Grow Old]
  • A. 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.
  • B. Grow Old With Me
    Grow Old With Me is the original working title of Isaac Asimov’s science fiction novel "Pebble in the Sky."
  • C. Growing Old
    "Growing Old" is a song featured on the album *Lighting Up the Sky* by the American rock band Godsmack.
  • D. Old to Begin
    "Old to Begin" is a song by the American indie rock band Pavement from their 1997 album "Brighten the Corners."
  • E. Old & In the Way
    Old & In the Way was a 1970s American bluegrass supergroup known for popularizing progressive bluegrass through its virtuosic playing and influential live recordings.
  • 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: Grow Old
Triple: [Dig Your Roots, track, Grow Old]
Generated description
"Grow Old" is a country song by Florida Georgia Line featured on their album "Dig Your Roots," reflecting themes of lifelong love and commitment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grow Old
Target entity description: "Grow Old" is a country song by Florida Georgia Line featured on their album "Dig Your Roots," reflecting themes of lifelong love and commitment.
  • A. 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.
  • B. Grow Old With Me
    Grow Old With Me is the original working title of Isaac Asimov’s science fiction novel "Pebble in the Sky."
  • C. Growing Old
    "Growing Old" is a song featured on the album *Lighting Up the Sky* by the American rock band Godsmack.
  • D. Old to Begin
    "Old to Begin" is a song by the American indie rock band Pavement from their 1997 album "Brighten the Corners."
  • E. Old & In the Way
    Old & In the Way was a 1970s American bluegrass supergroup known for popularizing progressive bluegrass through its virtuosic playing and influential live recordings.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff63e5481908a3ea0aa221360c5 completed April 19, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01aff477cc81908726070627ac7cba completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0a265348190a884a58f3caf54df completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b1b0553c8190bb76969fe95154ff completed May 11, 2026, 10:38 a.m.
Created at: April 10, 2026, 5:46 a.m.