Triple
T13439028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweeney |
E320304
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | McSweeney |
E320304
|
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: McSweeney | Statement: [Sweeney, hasVariant, McSweeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McSweeney Context triple: [Sweeney, hasVariant, McSweeney]
-
A.
McClurg
McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
-
B.
McNulty
McNulty is an Irish-origin surname borne by various notable individuals, including entertainers such as American singer and actor Dennis Day.
-
C.
Macauley
Macauley is a surname of Irish and Scottish origin, often considered a variant spelling of McCauley.
-
D.
Sweeney
chosen
Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
-
E.
McGraw
McGraw is a surname most famously associated with John McGraw, the legendary early 20th-century Major League Baseball manager of the New York Giants.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399215bc8190b846906b0f081e7f |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.