Triple
T10759994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Seymour |
E253799
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paul Seymour |
E253799
|
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: Paul Seymour | Statement: [Paul Seymour, name, Paul Seymour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Seymour Context triple: [Paul Seymour, name, Paul Seymour]
-
A.
Paul Seymour
chosen
Paul Seymour was an American professional basketball player and coach best known for his standout career with the Syracuse Nationals in the NBA during the 1950s.
-
B.
George Beverly Shea
George Beverly Shea was a renowned Canadian-American gospel singer and longtime soloist for the Billy Graham Crusades, celebrated for his rich baritone voice and influential hymns.
-
C.
Don Reed
Don Reed is a musician known for contributing as a featured artist on the country album "Tomorrow’s Sounds Today."
-
D.
Albert Sendrey
Albert Sendrey was a Hungarian-American composer, arranger, and conductor known for his work in film, radio, and popular music during the mid-20th century.
-
E.
Ted Berman
Ted Berman was an American animator and film director best known for his work at Walt Disney Productions during the studio’s classic and transitional eras.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72ea21c5081908babc049d0330a75 |
completed | April 9, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbdbc3780c819092337924e2ae90f8 |
completed | April 12, 2026, 5:52 p.m. |
Created at: April 8, 2026, 9:16 p.m.