Triple
T20734133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Thomas |
E509647
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Terrell |
—
|
NE NERFINISHED |
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: Terrell | Statement: [Jay Thomas, familyName, Terrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrell Context triple: [Jay Thomas, familyName, Terrell]
-
A.
Terrell
Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
-
B.
Terrell
Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
-
C.
Terrell
chosen
Terrell is a surname most notably associated with Mary Eliza Church Terrell, a pioneering African American civil rights activist, educator, and suffragist.
-
D.
Terrel
Terrel is a masculine given name, most notably borne by Terrel H. Bell, a former U.S. Secretary of Education.
-
E.
Devon Terrell
Devon Terrell is an Australian-American actor best known for his roles in the film "Barry" as a young Barack Obama and in various period and fantasy dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ef3040819085c8056e75571104 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:31 p.m.