Triple
T13714764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl |
E328867
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Reggie |
E388868
|
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: Reggie | Statement: [Carl, hasNameVariant, Reggie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reggie Context triple: [Carl, hasNameVariant, Reggie]
-
A.
Reggie
Reggie is a supporting character in the period comedy-drama series "The Marvelous Mrs. Maisel," appearing within its ensemble of figures surrounding the titular comedian’s world.
-
B.
Reggie
Reggie is a surname of French origin borne by individuals such as Doris Ann Boustany Reggie.
-
C.
Reggie
chosen
Reggie is a masculine given name commonly used as a short form of Reginald.
-
D.
Reggie
Reggie is the nickname of Reggie Jackson, a Hall of Fame Major League Baseball slugger famed for his clutch postseason hitting and the moniker "Mr. October."
-
E.
Reggie Williams
Reggie Williams is a former American professional basketball player best known for his standout college career at Georgetown University and his lengthy NBA tenure, primarily with the Denver Nuggets.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43973cf08190a417d0cca9dd314a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d56a90081908158dcf4ee061fb6 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.