Triple
T18154621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Proudie |
E434596
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Proudie |
—
|
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: Proudie | Statement: [Thomas Proudie, familyName, Proudie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proudie Context triple: [Thomas Proudie, familyName, Proudie]
-
A.
Proudie
chosen
Proudie is the surname of the fictional Bishop Proudie and his family in Anthony Trollope’s Barsetshire novels.
-
B.
Guillory
Guillory is a French-derived surname commonly found among individuals of Louisiana Creole and Cajun heritage in the United States.
-
C.
Allegresse
Allegresse is a celebrated jazz composition and album by Maria Schneider, showcasing her richly orchestrated, lyrical big band writing.
-
D.
Lovejoy
Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
-
E.
Lovejoy
Lovejoy is a surname most notably associated with Thomas E. Lovejoy, an influential American biologist and conservationist known for pioneering work in biodiversity.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de3b5b788190b011c4eb96a71ffd |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:30 a.m.