Triple
T21845363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hidden Files |
E539359
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Set Me Free” |
E1112248
|
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: [Hidden Files, hasPart, “Set Me Free”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Set Me Free” Context triple: [Hidden Files, hasPart, “Set Me Free”]
-
A.
Set Me Free (Rosa Lee)
chosen
"Set Me Free (Rosa Lee)" is a song featured on Los Lobos' acclaimed 1987 album "By the Light of the Moon."
-
B.
“Turn Me Loose”
“Turn Me Loose” is a song by the Longshot, Billie Joe Armstrong’s side project, featured on their debut album Love Is for Losers.
-
C.
“Runaway”
“Runaway” is a song by American singer-songwriter Marty Balin, known for his work as a founding member and lead vocalist of Jefferson Airplane.
-
D.
“Make Me Feel”
“Make Me Feel” is a funk- and pop-infused song by Janelle Monáe, widely noted for its Prince-inspired sound and celebration of fluid sexuality.
-
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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd5398fc81909f025bcccd0f80cb |
completed | April 28, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bcabfdc819083ffb78747a50a82 |
completed | May 17, 2026, 11:14 p.m. |
Created at: April 16, 2026, 6:55 p.m.