Triple
T10719531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lon Chaney Jr. |
E252780
|
entity |
| Predicate | givenName |
P17
|
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: [Lon Chaney Jr., givenName, Creighton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creighton Context triple: [Lon Chaney Jr., givenName, Creighton]
-
A.
Creighton
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.
Widener
Widener is an American surname most prominently associated with a wealthy Philadelphia family known for their influence in business, philanthropy, and the arts.
-
D.
Butler University
Butler University is a private liberal arts university located in Indianapolis, Indiana, known for its strong academic programs and active campus life.
-
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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3722ec8190b2d78a5630bf6efc |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.