Triple
T23435054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tori |
E563436
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Torry |
—
|
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: Torry | Statement: [Tori, hasSpellingVariant, Torry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torry Context triple: [Tori, hasSpellingVariant, Torry]
-
A.
Torry
chosen
Torry is a surname most notably associated with American comedian and actor Joe Torry.
-
B.
Torrence
Torrence is a Scottish surname most notably associated with silent film and early Hollywood character actor Ernest Torrence.
-
C.
Tyner
Tyner is the surname of renowned American jazz pianist and composer McCoy Tyner, closely associated with the John Coltrane Quartet and influential modal jazz recordings.
-
D.
Grier
Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
-
E.
Terrel
Terrel is a masculine given name, most notably borne by Terrel H. Bell, a former U.S. Secretary of Education.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5daabcc819094446a80723a487b |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.