Triple
T16675743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spellbound |
E405211
|
entity |
| Predicate | bSide |
P15273
|
FINISHED |
| Object | Follow the Sun |
E737967
|
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: Follow the Sun | Statement: [Spellbound, bSide, Follow the Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Follow the Sun Context triple: [Spellbound, bSide, Follow the Sun]
-
A.
Follow the Sun
chosen
"Follow the Sun" is a 1951 biographical drama film about golfer Ben Hogan, in which Gigi Perreau appears among the supporting cast.
-
B.
Chasing the Sun
"Chasing the Sun" is a song by Sara Bareilles featured on her 2013 studio album *The Blessed Unrest*.
-
C.
Catch the Sun
"Catch the Sun" is a song by British singer-songwriter Jamie Cullum, featured on his 2005 album "Catching Tales."
-
D.
Run for the Sun
Run for the Sun is a 1956 adventure thriller film starring Richard Widmark and Jane Greer, known for its tense jungle survival plot involving a reclusive writer and Nazi war criminals.
-
E.
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.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6b69cc8190b19632e1b4293569 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51169b881909216ab1055752978 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:19 a.m.