Triple
T7396354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Uggams |
E170630
|
entity |
| Predicate | hasPartInName |
P5298
|
FINISHED |
| Object | Uggams |
E169774
|
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: Uggams | Statement: [Leslie Uggams, hasPartInName, Uggams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uggams Context triple: [Leslie Uggams, hasPartInName, Uggams]
-
A.
Uggams
chosen
Uggams is the surname of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
-
B.
Uggie
Uggie was a famous Jack Russell Terrier dog actor best known for his acclaimed role in the silent film "The Artist."
-
C.
Ubba
Ubba was a prominent Viking warlord of the 9th century, traditionally regarded as one of the principal commanders of the Great Heathen Army that invaded Anglo-Saxon England.
-
D.
Guga
Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
-
E.
Woopi
Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f248f79c819094b1d1e2c3d511d1 |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ed378308190b925941415db596d |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:09 p.m.