Triple
T18440403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Sweeney |
E450511
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sweeney |
—
|
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: Sweeney | Statement: [Sydney Sweeney, familyName, Sweeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweeney Context triple: [Sydney Sweeney, familyName, Sweeney]
-
A.
Sweeney
chosen
Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
-
B.
Sweeney’s
Sweeney’s is a settlement in the Northern District of Montserrat in the Caribbean island nation of Montserrat.
-
C.
Sweeney's Men
Sweeney's Men were an influential Irish folk group from the 1960s known for helping pioneer the Irish folk revival with innovative arrangements and instrumentation.
-
D.
Sweeney Schriner
Sweeney Schriner was a Canadian Hall of Fame right winger in the National Hockey League, best known for his scoring prowess in the 1930s and 1940s.
-
E.
Reno Sweeney
Reno Sweeney is the brassy, wisecracking nightclub singer and evangelist who serves as the charismatic leading lady in the classic Cole Porter musical "Anything Goes."
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0fda908190901a108fb9982a2d |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:30 a.m.