Triple
T10183509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennie Creighton |
E236846
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Creighton |
E402493
|
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: Creighton | Statement: [Jennie Creighton, familyName, Creighton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creighton Context triple: [Jennie Creighton, familyName, Creighton]
-
A.
Creighton
chosen
Creighton is a masculine given name most notably associated with U.S. Army General Creighton Abrams.
-
B.
Creighton University
Creighton University is a private Jesuit university known for its strong programs in health sciences, business, and law.
-
C.
Butler University
Butler University is a private liberal arts university located in Indianapolis, Indiana, known for its strong academic programs and active campus life.
-
D.
Denison
Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
-
E.
Denison
Denison is a given name most notably borne by the influential 19th-century English theologian and Christian socialist Frederick Denison Maurice.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded3408b88190a7d981a6dcea48d9 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3179b9de88190ba3beb7d6dbf7ad3 |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:12 p.m.