Triple
T16267973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrell |
E394920
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Terrelle |
E394920
|
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: Terrelle | Statement: [Terrell, hasVariant, Terrelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrelle Context triple: [Terrell, hasVariant, Terrelle]
-
A.
Terrell
Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
-
B.
Terrell
Terrell is a surname most notably associated with Mary Eliza Church Terrell, a pioneering African American civil rights activist, educator, and suffragist.
-
C.
Terrell
chosen
Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
-
D.
Tre'Von Willis
Tre'Von Willis is an American former college basketball guard best known for his standout career at UNLV, where he emerged as one of the Mountain West Conference’s top players.
-
E.
Aaquil Brown
Aaquil Brown, better known as Slim Jxmmi, is an American rapper and one half of the hip hop duo Rae Sremmurd.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c963ec8190b059fecac6248cd9 |
completed | April 17, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f8eac988190bdcba6778fbffd64 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:05 a.m.