Triple
T12036497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Wheeler |
E286552
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Karen Wheeler |
E849802
|
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: Karen Wheeler | Statement: [Nancy Wheeler, childOf, Karen Wheeler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Wheeler Context triple: [Nancy Wheeler, childOf, Karen Wheeler]
-
A.
Karen Wheeler
chosen
Karen Wheeler is a fictional character from the television series "Stranger Things," known as the mother of Mike Wheeler and his siblings in the suburban town of Hawkins.
-
B.
Kate Wheeler
Kate Wheeler is a fictional character from the crime-comedy film "Bandits," in which she becomes romantically involved with a pair of charismatic bank robbers.
-
C.
Karen Willis
Karen Willis is known as the wife of Victor Willis, the original lead singer and lyricist of the Village People.
-
D.
Kelly Roberts
Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
-
E.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
- 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_69f72654dc88819095bc1ce23dfee4df |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 8, 2026, 9:47 p.m.