Triple
T9321646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Wheeler |
E224277
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object | Wheeler |
E9061
|
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: Wheeler | Statement: [Mike Wheeler, hasLastName, Wheeler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wheeler Context triple: [Mike Wheeler, hasLastName, Wheeler]
-
A.
Wheeler
chosen
Wheeler is a surname most prominently associated in this context with Ted Wheeler, the American politician and mayor of Portland, Oregon.
-
B.
Battery Wheeler
Battery Wheeler is a coastal artillery battery that formed part of the defensive fortifications at Fort Mills on Corregidor Island in the Philippines.
-
C.
Wyle
Wyle is the surname of American actor Noah Wyle, best known for his role as Dr. John Carter on the television series "ER."
-
D.
Klepper
Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
-
E.
Oberholtzer
Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f2bd288190bb1556a88d9e90f3 |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7cc71e48190afdc3f1120ce5e02 |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:38 p.m.