Triple

T16056933
Position Surface form Disambiguated ID Type / Status
Subject Catching Tales E389503 entity
Predicate notableTrack P8087 FINISHED
Object Catch the Sun
"Catch the Sun" is a song by British singer-songwriter Jamie Cullum, featured on his 2005 album "Catching Tales."
E1191999 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: Catch the Sun | Statement: [Catching Tales, notableTrack, Catch the Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catch the Sun
Context triple: [Catching Tales, notableTrack, Catch the Sun]
  • A. Chasing the Sun
    "Chasing the Sun" is a song by Sara Bareilles featured on her 2013 studio album *The Blessed Unrest*.
  • B. Follow the Sun
    "Follow the Sun" is a 1951 biographical drama film about golfer Ben Hogan, in which Gigi Perreau appears among the supporting cast.
  • C. Soak Up the Sun
    "Soak Up the Sun" is a 2002 pop-rock song by Sheryl Crow known for its upbeat, feel-good sound and themes of optimism and enjoying life's simple pleasures.
  • D. Always the Sun
    Always the Sun is a psychological thriller novel by Neil Cross that follows a father’s increasingly desperate quest for justice after his son is violently bullied.
  • E. Days in the Sun
    "Days in the Sun" is a reflective musical number from Disney's 2017 live-action adaptation of Beauty and the Beast, in which the castle's inhabitants wistfully recall their lives before the curse.
  • 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: Catch the Sun
Triple: [Catching Tales, notableTrack, Catch the Sun]
Generated description
"Catch the Sun" is a song by British singer-songwriter Jamie Cullum, featured on his 2005 album "Catching Tales."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Catch the Sun
Target entity description: "Catch the Sun" is a song by British singer-songwriter Jamie Cullum, featured on his 2005 album "Catching Tales."
  • A. Chasing the Sun
    "Chasing the Sun" is a song by Sara Bareilles featured on her 2013 studio album *The Blessed Unrest*.
  • B. Follow the Sun
    "Follow the Sun" is a 1951 biographical drama film about golfer Ben Hogan, in which Gigi Perreau appears among the supporting cast.
  • C. Soak Up the Sun
    "Soak Up the Sun" is a 2002 pop-rock song by Sheryl Crow known for its upbeat, feel-good sound and themes of optimism and enjoying life's simple pleasures.
  • D. Always the Sun
    Always the Sun is a psychological thriller novel by Neil Cross that follows a father’s increasingly desperate quest for justice after his son is violently bullied.
  • E. Days in the Sun
    "Days in the Sun" is a reflective musical number from Disney's 2017 live-action adaptation of Beauty and the Beast, in which the castle's inhabitants wistfully recall their lives before the curse.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837579488190964ca004c2eb01c4 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe49bd0819088e25de082184133 completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffde320f748190b7abf6ad4cc81ed9 completed May 10, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffdec2dd18819092882485ae2baabe completed May 10, 2026, 1:26 a.m.
Created at: April 10, 2026, 4:56 a.m.