Triple
T18309031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cora Munro |
E438567
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Magua |
—
|
NE NERFINISHED |
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: Magua | Statement: [Cora Munro, associatedWith, Magua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magua Context triple: [Cora Munro, associatedWith, Magua]
-
A.
Magua
chosen
Magua is the vengeful Huron chief and primary villain in James Fenimore Cooper’s novel "The Last of the Mohicans," known for his cunning, ruthlessness, and personal vendetta against Colonel Munro.
-
B.
Chingachgook
Chingachgook is a fictional Mohican chief and close companion of Natty Bumppo in James Fenimore Cooper’s frontier novels.
-
C.
Kadohadacho
Kadohadacho were a principal group of the Caddo people, historically known as influential agricultural villagers and traders in the Red River region of what is now the southern United States.
-
D.
Dja-et-Lobo
Dja-et-Lobo is a department in the South Region of Cameroon known for its largely forested landscape and low population density.
-
E.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021709f88190a8047dd57edc2029 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:36 a.m.