Triple
T14242382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerard Swope |
E353042
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Swope |
E351078
|
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: Swope | Statement: [Gerard Swope, familyName, Swope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swope Context triple: [Gerard Swope, familyName, Swope]
-
A.
Swope
chosen
Swope is a surname of English origin borne by various notable individuals in American history, politics, and science.
-
B.
Swope Park
Swope Park is a large, historic urban park in Kansas City known for its extensive green space, recreational facilities, and cultural attractions.
-
C.
Dantley
Dantley is a surname most prominently associated with Adrian Dantley, a Hall of Fame American professional basketball player known for his prolific scoring in the NBA.
-
D.
Ogontz
Ogontz is a residential neighborhood in the North Philadelphia section of Philadelphia, Pennsylvania, known for its rowhomes and proximity to major thoroughfares like Ogontz Avenue.
-
E.
Remsen
Remsen is a surname most notably associated with Ira Remsen, an American chemist and co-discoverer of saccharin.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6244ad188190b9d9db7914240410 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28235880819094f5983cce01b0fc |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.