Triple
T17000746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choi Woo-shik |
E412434
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Set Me Free |
E1245264
|
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: Set Me Free | Statement: [Choi Woo-shik, appearedIn, Set Me Free]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Set Me Free Context triple: [Choi Woo-shik, appearedIn, Set Me Free]
-
A.
Set Me Free
"Set Me Free" is a 1986 dance-pop single by British soul singer Jaki Graham that became one of her best-known hits.
-
B.
Set Me Free
"Set Me Free" is a song featured on Mary J. Blige's 1997 R&B album "Share My World," showcasing her powerful vocals and emotionally charged style.
-
C.
Set Me Free
"Set Me Free" is a hard rock song by the supergroup Velvet Revolver, known for its heavy riffs and inclusion on the soundtrack of the 2003 film "Hulk."
-
D.
Set Me Free
chosen
Set Me Free is a 2014 South Korean coming-of-age drama film about a troubled teenager struggling with faith, family, and identity in a group home.
-
E.
Set Me Free (Feel My Pain)
"Set Me Free (Feel My Pain)" is a song featured on the soundtrack of the film *True Romance*.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37d9f9081909aef52426d88940d |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b451ff88190b63f4ebddf93f153 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:32 a.m.