Triple
T14083473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natasha Tameika Cobbs |
E338927
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Grace
"Grace" is a bestselling contemporary gospel album by American singer Natasha Tameika Cobbs (Tasha Cobbs Leonard), known for its powerful worship anthems and wide impact in Christian music.
|
E336354
|
NE FINISHED |
How this triple was built (4 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: Grace | Statement: [Natasha Tameika Cobbs, notableWork, Grace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grace Context triple: [Natasha Tameika Cobbs, notableWork, Grace]
-
A.
Grace
Grace is a feminine given name of Latin origin meaning "grace" or "favor," often associated with elegance and kindness.
-
B.
Grace
"Grace" is a British crime drama television series starring John Simm as Detective Superintendent Roy Grace, adapted from Peter James's bestselling novels.
-
C.
Grace
Grace is a skilled and enigmatic thief who becomes entangled with Ethan Hunt and the IMF team in the action film "Mission: Impossible – Dead Reckoning Part One."
-
D.
Grace
Grace is the NATO reporting name for the Aichi B7A, a Japanese World War II carrier-based torpedo-dive bomber aircraft.
-
E.
Grace
Grace is a central character in the 1969 film "The Slave," notable for her role within the movie’s historical adventure narrative.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grace Triple: [Natasha Tameika Cobbs, notableWork, Grace]
Generated description
"Grace" is a bestselling contemporary gospel album by American singer Natasha Tameika Cobbs (Tasha Cobbs Leonard), known for its powerful worship anthems and wide impact in Christian music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grace Target entity description: "Grace" is a bestselling contemporary gospel album by American singer Natasha Tameika Cobbs (Tasha Cobbs Leonard), known for its powerful worship anthems and wide impact in Christian music.
-
A.
Grace
chosen
"Grace" is a popular contemporary gospel album by Tasha Cobbs known for its powerful worship songs and breakout hit "Break Every Chain."
-
B.
Grace
"Grace" is a track by Nigerian singer Wizkid from his acclaimed Afrobeats album "Made in Lagos."
-
C.
Grace
Grace is Jeff Buckley’s acclaimed 1994 debut studio album, celebrated for its emotive vocals, eclectic songwriting, and enduring influence on alternative rock.
-
D.
Grace
"Grace" is a song by the Irish rock band U2 from their 2000 album *All That You Can’t Leave Behind*.
-
E.
Grace
"Grace" is a single from the album "Self-Titled," known for its emotive style and central role in defining the artist’s sound on that record.
- F. None of above.
Provenance (5 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ede40048190b465e909565730c1 |
completed | April 14, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb676620481908ed2fa5687a21866 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc5c893dc81908538136e0f9170ca |
completed | May 7, 2026, 5:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc64ac93c8190ad40a04c74f70e18 |
completed | May 7, 2026, 5:05 p.m. |
Created at: April 9, 2026, 10:21 p.m.