Triple
T8022934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm the One |
E186780
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Grateful |
E190939
|
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: Grateful | Statement: [I'm the One, album, Grateful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grateful Context triple: [I'm the One, album, Grateful]
-
A.
Grateful
chosen
Grateful is DJ Khaled’s star-studded hip-hop album known for its major hit singles and extensive roster of high-profile guest artists.
-
B.
Thankful
"Thankful" is the 2003 pop and R&B-influenced debut studio album by American singer Kelly Clarkson, released after her win on the first season of American Idol.
-
C.
Thanks
"Thanks" is a film featuring Erika Christensen in a notable role.
-
D.
Beneful
Beneful is a popular line of dog food products produced by Nestlé Purina PetCare, known for its dry kibble, wet food, and treats.
-
E.
Gracias
Gracias is a historic colonial town in western Honduras known for its preserved architecture and proximity to the Celaque National Park and Cerro Las Minas.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8fb6788190a16413051ec26988 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56cdce588190abba45c24dc7a5e7 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:21 p.m.