Triple
T4663889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayman |
E102797
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Dee Reynolds |
E220907
|
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: Dee Reynolds | Statement: [Dayman, associatedWithCharacter, Dee Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dee Reynolds Context triple: [Dayman, associatedWithCharacter, Dee Reynolds]
-
A.
Dee Reynolds
chosen
Dee Reynolds is a main character on the TV show "It's Always Sunny in Philadelphia," known for her delusional aspirations, abrasive personality, and constant ridicule from the rest of the gang.
-
B.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
C.
Diana Rathbun
Diana Rathbun is a film producer best known for her work on the epic historical war movie "Troy."
-
D.
Donna Deegan
Donna Deegan is an American politician, former television news anchor, and founder of a breast cancer charity who serves as the mayor of Jacksonville, Florida.
-
E.
Deanna Oliver
Deanna Oliver is an American screenwriter and voice actress best known for co-writing the 1995 live-action/CGI family film "Casper."
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd633aeba88190a8329ed022d685b6 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70057abc48190a5855ce1c6029d81 |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 20, 2026, 1:15 p.m.