Triple
T7679032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Sitton |
E173940
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Charlie Sitton |
E173940
|
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: Charlie Sitton | Statement: [Charlie Sitton, name, Charlie Sitton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Sitton Context triple: [Charlie Sitton, name, Charlie Sitton]
-
A.
Charlie Sitton
chosen
Charlie Sitton is a former American college basketball standout best known for his All-American career at Oregon State University in the early 1980s.
-
B.
Gopher Smith
Gopher Smith is a bumbling yet lovable ship’s purser on the classic American television series "The Love Boat."
-
C.
Archie Rice
Archie Rice is a washed-up, cynical music-hall performer whose personal and professional decline embodies the fading glory of British vaudeville.
-
D.
Jefferson Smith
Jefferson Smith is the idealistic, naive young senator in the classic film "Mr. Smith Goes to Washington," known for his integrity and famous filibuster against political corruption.
-
E.
Jeff McIlwain
Jeff McIlwain is an electronic music producer and film composer best known for his work under the moniker Lusine, blending ambient, techno, and experimental sounds.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fe2cc88190b5fd5e1378c32e5b |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e57c9e00819096730c74c5202027 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 4:01 p.m.