Triple
T19645614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blessed Are... |
E471663
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Blessed Are... (song) |
—
|
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: Blessed Are... (song) | Statement: [Blessed Are..., hasPart, Blessed Are... (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blessed Are... (song) Context triple: [Blessed Are..., hasPart, Blessed Are... (song)]
-
A.
Blessed Are... (album)
chosen
Blessed Are... is a 1971 folk album by Joan Baez that blends contemporary protest songs, traditional material, and covers into one of her most politically charged and musically diverse studio releases.
-
B.
So Blessed
"So Blessed" is a song featured on the album "Emotions."
-
C.
We're Blessed
"We're Blessed" is a popular contemporary gospel song by Fred Hammond known for its uplifting message of gratitude and faith.
-
D.
Blessed
"Blessed" is a track from Tyler, the Creator’s album *Call Me If You Get Lost*, known for its intimate, spoken-word style and personal reflections.
-
E.
Blessed
"Blessed" is a popular Afrobeats track by Nigerian artist Wizkid, featuring Damian Marley, from his acclaimed album *Made in Lagos*.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641250e108190a707452fefc87041 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.