Triple
T13537484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Wives |
E323298
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Kim Delaney |
E540576
|
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: Kim Delaney | Statement: [Army Wives, portrayedBy, Kim Delaney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Delaney Context triple: [Army Wives, portrayedBy, Kim Delaney]
-
A.
Kim Delaney
chosen
Kim Delaney is an American actress best known for her Emmy-winning role as Detective Diane Russell on the television drama NYPD Blue.
-
B.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
C.
Jessica Reedy
Jessica Reedy is an American gospel singer and songwriter known for her soulful vocals and for gaining national attention as a finalist on BET’s “Sunday Best.”
-
D.
Elizabeth Daley
Elizabeth Daley is one of the daughters of the late Chicago First Lady Maggie Daley and former Chicago Mayor Richard M. Daley.
-
E.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f84935c8190b9e41f44140066e5 |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:45 p.m.