Triple
T20939549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingrid Chauvin |
E515679
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chauvin |
—
|
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: Chauvin | Statement: [Ingrid Chauvin, familyName, Chauvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chauvin Context triple: [Ingrid Chauvin, familyName, Chauvin]
-
A.
Chauvin
chosen
Chauvin is a French surname most notably borne by Yves Chauvin, the Nobel Prize–winning chemist known for his work on the mechanism of olefin metathesis.
-
B.
Charl
Charl is a given name, typically a shortened or variant form of the name Charles.
-
C.
Black Phillip
Black Phillip is the sinister goat embodying the Devil in the 2015 horror film "The Witch."
-
D.
Derek Chauvin
Derek Chauvin is a former Minneapolis police officer best known for murdering George Floyd in 2020, an act that sparked worldwide protests against police brutality and systemic racism.
-
E.
Cowlitz Cleaver
Cowlitz Cleaver is a prominent rocky ridge on Mount Rainier in Washington State that separates the Cowlitz and Ingraham Glaciers and serves as a key landmark for climbers ascending the mountain.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f954e44481909098a0b23a687d5e |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.