Triple
T20818153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conneely |
E512498
|
entity |
| Predicate | isRelatedSurname |
P3889
|
FINISHED |
| Object | Connelly |
—
|
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: Connelly | Statement: [Conneely, isRelatedSurname, Connelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connelly Context triple: [Conneely, isRelatedSurname, Connelly]
-
A.
Connelly
chosen
Connelly is a surname most prominently associated with American actress Jennifer Connelly, known for her acclaimed film roles since the 1980s.
-
B.
Conerly
Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
-
C.
Connon
Connon is the surname of Helen Connon, a notable New Zealand educator and the first woman in the British Empire to earn a university degree with honors.
-
D.
Donnelly
Donnelly is an Irish-origin surname commonly associated with families of Gaelic heritage and found widely in Ireland and the Irish diaspora.
-
E.
Hudson Connelly
Hudson Connelly is a fictional character in the series "Sex/Life," known as the young son of protagonist Billie Connelly.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f429388190809dd532278fe310 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.