Triple
T18835212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greta Onieogou |
E460645
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Heartland |
E331987
|
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: Heartland | Statement: [Greta Onieogou, notableWork, Heartland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heartland Context triple: [Greta Onieogou, notableWork, Heartland]
-
A.
Heartland
Heartland is a 2021 country-rap fusion album by American rapper Nelly that features collaborations with several country artists.
-
B.
Heartland
"Heartland" is a song by U2 from their album *Rattle and Hum*, known for its atmospheric sound and evocative lyrics about America.
-
C.
Heartland
chosen
Heartland is a long-running Canadian family drama television series that follows the lives and challenges of a multigenerational ranching family in rural Alberta.
-
D.
Heartland
Heartland is an American country music duo known for their traditional country sound and chart-topping hits in the mid-2000s.
-
E.
Heartland
Heartland is a novel by British writer Neil Cross, best known for its dark, psychologically driven storytelling.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99d491c81909d8e55ac45621d44 |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05676957848190bbc1998f4e36d11e |
completed | May 14, 2026, 6:10 a.m. |
Created at: April 10, 2026, 11:56 a.m.