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.