Triple
T12036493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Wheeler |
E286552
|
entity |
| Predicate | familyName |
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: [Nancy Wheeler, familyName, Wheeler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wheeler Context triple: [Nancy Wheeler, familyName, 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.
Wolf J. Flywheel
Wolf J. Flywheel is a fast-talking, scheming lawyer character played by Groucho Marx in the Marx Brothers film "The Big Store."
-
E.
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.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90408cbf0819093270c9833ef149a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d7d453c8190a27c5feca8f38991 |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.