Triple
T16267972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrell |
E394920
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Terrel |
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: Terrel | Statement: [Terrell, hasVariant, Terrel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrel Context triple: [Terrell, hasVariant, Terrel]
-
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.
Tarell
Tarell is a masculine given name most notably borne by American playwright and screenwriter Tarell Alvin McCraney.
-
E.
Terrance
Terrance is the given name of Terrance Dicks, a British writer best known for his work on the television series Doctor Who and its novelizations.
- 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_6a0017bb1d64819080f007656307f58b |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.