Triple
T17079739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeptha H. Wade |
E414438
|
entity |
| Predicate | hasPartInName |
P5298
|
FINISHED |
| Object | Wade |
E103612
|
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: Wade | Statement: [Jeptha H. Wade, hasPartInName, Wade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wade Context triple: [Jeptha H. Wade, hasPartInName, Wade]
-
A.
Wade
chosen
Wade is a common English surname borne by numerous notable individuals across fields such as law, sports, and the arts.
-
B.
Wade
Wade is a laid-back, tech-savvy fast-food worker and close ally who often helps Kick Buttowski with his daring stunts in the animated series "Kick Buttowski: Suburban Daredevil."
-
C.
Wade Johnson
Wade Johnson is a fictional character from the 1997 family comedy film "Cooties."
-
D.
Will Wade
Will Wade is an American college basketball coach best known for his tenure leading the LSU Tigers men's basketball program and previous successful stints at VCU and Chattanooga.
-
E.
Dwane
Dwane is a masculine given name most notably borne by NBA coach Dwane Casey.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe24a6481908b4596c95220df4a |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee243c081909aa6d470e002222a |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.