Triple
T19335796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaRose |
E483619
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | LaRose |
—
|
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: LaRose | Statement: [LaRose, featuresCharacter, LaRose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaRose Context triple: [LaRose, featuresCharacter, LaRose]
-
A.
LaRose
chosen
LaRose is a novel by Louise Erdrich that explores grief, justice, and intergenerational trauma within a contemporary Ojibwe community after a tragic accidental killing.
-
B.
LaBelle
LaBelle was a pioneering 1970s American female vocal group best known for their hit "Lady Marmalade" and their flamboyant, funk-rock style.
-
C.
LaBelle
LaBelle is a small city in Hendry County, Florida, known as a rural hub near the Caloosahatchee River with an economy rooted in agriculture and outdoor recreation.
-
D.
Mitchard
Mitchard is a surname most notably associated with American author Jacquelyn Mitchard.
-
E.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61645c0dc8190b64e15c735bcb9f4 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.