Triple
T15854654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joyce Carol Oates |
E384422
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Falls |
E387678
|
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: The Falls | Statement: [Joyce Carol Oates, notableWork, The Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Falls Context triple: [Joyce Carol Oates, notableWork, The Falls]
-
A.
The Falls
chosen
The Falls is a novel by Joyce Carol Oates that explores the aftermath of a tragic event at Niagara Falls and its impact on a family over several decades.
-
B.
The Falls
The Falls is a crime novel by Scottish author Ian Rankin, featuring Inspector Rebus investigating a mysterious disappearance in Edinburgh.
-
C.
Four Falls
Four Falls is a small rural community located in Victoria County in the Canadian province of New Brunswick.
-
D.
High Falls
High Falls is a prominent waterfall on the Pigeon River, known for its powerful drop along the U.S.–Canada border in the Great Lakes region.
-
E.
High Falls
High Falls is a prominent waterfall on the Genesee River in downtown Rochester, New York, historically central to the city’s early industrial development and now a key scenic and tourist attraction.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14caf6ae481909ae1385cb4548612 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff28f63c88190968ecbd4706b1331 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:50 a.m.