Triple
T21620618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard G. Ivey |
E533566
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Ivey |
E895458
|
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: Ivey | Statement: [Richard G. Ivey, hasFamilyName, Ivey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivey Context triple: [Richard G. Ivey, hasFamilyName, Ivey]
-
A.
Ivey
chosen
Ivey is the surname of Niele Ivey, a prominent American basketball coach and former professional player.
-
B.
Ivie
Ivie is a given name most notably associated with American jazz singer Ivie Anderson, who performed with the Duke Ellington Orchestra in the 1930s.
-
C.
Cloyce
Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
-
D.
Verdell
Verdell is the small Brussels Griffon dog from the film "As Good as It Gets," known for softening the misanthropic character Melvin Udall.
-
E.
Bivins
Bivins is a surname most notably associated with Michael Bivins, an American singer, rapper, and music executive known for his work with New Edition and Bell Biv DeVoe.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3baeeae48190b78583b3bec8ee33 |
completed | April 27, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd4649ac8190bae1adba3110846b |
completed | May 17, 2026, 5:39 p.m. |
Created at: April 16, 2026, 6:34 p.m.