Triple
T19643759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Cry |
E471611
|
entity |
| Predicate | partOfAlbum |
P35
|
FINISHED |
| Object | Freedom |
—
|
NE NERFINISHED |
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: Freedom | Statement: [Don't Cry, partOfAlbum, Freedom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freedom Context triple: [Don't Cry, partOfAlbum, Freedom]
-
A.
Freedom
Freedom is a 2008 studio album by Senegalese-American singer Akon that blends R&B, pop, and dance influences and features hits like "Right Now (Na Na Na)."
-
B.
Freedom
Freedom is a critically acclaimed 2010 novel by American author Jonathan Franzen that explores contemporary family life, personal freedom, and moral complexity in the United States.
-
C.
Freedom
chosen
"Freedom" is a song by the American rock band Driving Rain.
-
D.
Freedom
Freedom is a 2014 drama film that intertwines the stories of a runaway slave and his descendant, exploring themes of liberation, faith, and legacy.
-
E.
Freedom
"Freedom" is a 1984 pop song by British duo Wham!, featuring Andrew Ridgeley and George Michael, known for its upbeat sound and chart-topping success.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641239ca08190a8bb8854f21ab562 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.