Triple
T19090276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kara Thrace |
E467263
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Katee Sackhoff |
—
|
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: Katee Sackhoff | Statement: [Kara Thrace, portrayedBy, Katee Sackhoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katee Sackhoff Context triple: [Kara Thrace, portrayedBy, Katee Sackhoff]
-
A.
Katee Sackhoff
chosen
Katee Sackhoff is an American actress best known for her acclaimed portrayal of Kara "Starbuck" Thrace in the reimagined Battlestar Galactica television series.
-
B.
Melissa McBride
Melissa McBride is an American actress best known for her acclaimed portrayal of Carol Peletier on the television series "The Walking Dead."
-
C.
Laurie Holden
Laurie Holden is an American actress best known for her roles in horror and thriller projects such as "The Walking Dead" and "The X-Files."
-
D.
Jeri Ryan
Jeri Ryan is an American actress best known for her role as the Borg drone Seven of Nine in the science fiction television franchise Star Trek.
-
E.
Gina Torres
Gina Torres is an American actress known for her roles in television series such as "Suits," "Firefly," and "Hannibal."
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34a589c8190b5171fab45bf2204 |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.