Triple
T6283541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Blessed |
E140838
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | So Blessed |
E140838
|
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: So Blessed | Statement: [So Blessed, name, So Blessed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Blessed Context triple: [So Blessed, name, So Blessed]
-
A.
So Blessed
chosen
"So Blessed" is a song featured on the album "Emotions."
-
B.
Blessings
"Blessings" is a hip-hop single by Big Sean featuring Drake and Kanye West, known for its introspective lyrics about success, gratitude, and the pressures of fame.
-
C.
Blessings
Blessings is a novel by American author Anna Quindlen that explores themes of family, redemption, and unexpected responsibility after an abandoned baby is discovered on a wealthy estate.
-
D.
Blessed Are... (album)
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.
-
E.
Bless the Woman
Bless the Woman is a Russian drama film best known for its portrayal of a woman's life and sacrifices across turbulent decades of Soviet history.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fb6b1c8190b19a674c18fc9c53 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5196864788190934e7c66d450dcf1 |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:26 p.m.