Triple
T22595760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Those Calloways |
E574675
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Linda Evans |
—
|
NE NERFINISHED |
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: Linda Evans | Statement: [Those Calloways, starredActor, Linda Evans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Evans Context triple: [Those Calloways, starredActor, Linda Evans]
-
A.
Linda Evans
chosen
Linda Evans is an American actress best known for her role as Krystle Carrington on the 1980s television soap opera "Dynasty."
-
B.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
-
C.
Kelly O'Brien
Kelly O'Brien is the central protagonist of the audio drama "AVP: Requiem," around whom the story’s key events and conflicts revolve.
-
D.
Karen Richards
Karen Richards is a television producer best known for her executive production work on the horror drama series "Penny Dreadful."
-
E.
Karen Richards
Karen Richards is a fictional character from the 1949 play "Aged in Wood," likely serving as a central figure in its dramatic narrative.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16268cb54819084a0f27ec0473f35 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:49 p.m.