Triple
T20012920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Catlett |
E494633
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Catlett |
—
|
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: Catlett | Statement: [Sidney Catlett, familyName, Catlett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catlett Context triple: [Sidney Catlett, familyName, Catlett]
-
A.
Catlett
chosen
Catlett is a surname most notably associated with American character actor and comedian Walter Catlett, known for his work in early 20th-century film and theater.
-
B.
Canalla
Canalla is the popular nickname for Argentine football club Rosario Central, reflecting its passionate and combative identity.
-
C.
Dusenberry
Dusenberry is a surname of English origin borne by various individuals, including American actress Ann Dusenberry.
-
D.
Carollo
Carollo is an Italian-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
-
E.
Benet
Benet is a commune in the Vendée department of western France, known for its rural character and location near the Marais Poitevin marshlands.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66238f434819083b11458179bb601 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.