Triple
T17910703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zach Callison |
E447810
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zachary |
—
|
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: Zachary | Statement: [Zach Callison, givenName, Zachary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zachary Context triple: [Zach Callison, givenName, Zachary]
-
A.
Zachary
chosen
Zachary is a masculine given name of Hebrew origin meaning "the Lord has remembered," borne by various notable figures including the 12th U.S. president, Zachary Taylor.
-
B.
Zachary
Zachary is a small city in Louisiana, United States, known as a suburban community within the Baton Rouge metropolitan area.
-
C.
Zachary James
Zachary James is an American bass-baritone opera and musical theatre performer known for originating the role of Lurch in the Broadway production of "The Addams Family."
-
D.
Tom Zachary
Tom Zachary was an American left-handed Major League Baseball pitcher best known for his long career in the 1910s–1930s and for giving up Babe Ruth’s record-setting 60th home run in 1927.
-
E.
Zach
Zach is a fictional character played by American actor Charlie Tahan, known for his roles in film and television.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.