Triple
T10811863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gussy Holl |
E255120
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gussy |
E255120
|
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: Gussy | Statement: [Gussy Holl, givenName, Gussy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gussy Context triple: [Gussy Holl, givenName, Gussy]
-
A.
Gussy Holl
chosen
Gussy Holl was a German actress and cabaret performer of the early 20th century, known for her work in Berlin’s vibrant theater scene and her marriage to actor Conrad Veidt.
-
B.
Gruchy
Gruchy is a small hamlet in the Normandy region of France, best known as the birthplace of the painter Jean-François Millet.
-
C.
Glennie
Glennie is a Scottish surname most notably borne by Dame Evelyn Glennie, the renowned virtuoso percussionist.
-
D.
Yessie
Yessie is a studio album by Canadian singer-songwriter Jessie Reyez that showcases her emotionally raw R&B and pop sound.
-
E.
Gussie
Gussie is a fictional character best known as the hapless young protagonist in P. G. Wodehouse’s comic story “Extricating Young Gussie.”
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eadda48190b2b1183ee60102cb |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0ea2b6481909dfd94fe0c3c4499 |
completed | April 14, 2026, 9:26 p.m. |
Created at: April 8, 2026, 9:18 p.m.