Triple
T10646843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katie DeWitt |
E250856
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | DeWitt |
E174922
|
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: DeWitt | Statement: [Katie DeWitt, hasSurname, DeWitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeWitt Context triple: [Katie DeWitt, hasSurname, DeWitt]
-
A.
DeWitt
chosen
DeWitt is a masculine given name most notably borne by American politician DeWitt Clinton, a key figure in early 19th-century New York and U.S. history.
-
B.
Linwood
Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
-
C.
Linwood
Linwood is a residential neighborhood located within the city of Milwaukie, Oregon.
-
D.
Elmore
Elmore is the birth name of American actor Rip Torn, a prolific character performer known for his intense screen presence and roles in projects like "The Larry Sanders Show" and "Men in Black."
-
E.
Elmore
Elmore is a fictional, suburban American town characterized by its bizarre residents and surreal events in the animated series "The Amazing World of Gumball."
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe1cd6081909df9e4dc0fda1f0b |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbace2a5388190bb685d347dd8aa6c |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:05 p.m.