Triple
T13040656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Tunney |
E327180
|
entity |
| Predicate | awardReceivedFor |
P107
|
FINISHED |
| Object | Niagara, Niagara |
E1017246
|
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: Niagara, Niagara | Statement: [Robin Tunney, awardReceivedFor, Niagara, Niagara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niagara, Niagara Context triple: [Robin Tunney, awardReceivedFor, Niagara, Niagara]
-
A.
Niagara, Niagara
chosen
"Niagara, Niagara" is a 1997 independent road drama film following two troubled teenagers on a chaotic journey across the American Northeast.
-
B.
"Niagara"
"Niagara" is a popular two-part episode of the U.S. version of The Office centered on Jim and Pam’s wedding at Niagara Falls.
-
C.
Niagara of the West
Niagara of the West is a nickname for Shoshone Falls, a large and powerful waterfall on the Snake River in southern Idaho.
-
D.
The Falls
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.
-
E.
The Falls
The Falls is a crime novel by Scottish author Ian Rankin, featuring Inspector Rebus investigating a mysterious disappearance in Edinburgh.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804d8e3081909584c93df099859a |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5fbaea8819080ca249159d6c125 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:56 p.m.