Triple
T14691101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Case |
E345033
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Kathryn Morris |
E511140
|
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: Kathryn Morris | Statement: [Cold Case, portrayedBy, Kathryn Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathryn Morris Context triple: [Cold Case, portrayedBy, Kathryn Morris]
-
A.
Kathryn Morris
chosen
Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
-
B.
Kathleen Lloyd
Kathleen Lloyd is an American actress best known for her film and television work in the 1970s and 1980s, including prominent roles in Westerns and crime dramas.
-
C.
Kathryn Stevens
Kathryn Stevens is known as the daughter of the late U.S. Supreme Court Justice John Paul Stevens.
-
D.
Kathryn Cramer
Kathryn Cramer is an American science fiction editor, writer, and critic known for her work on influential anthologies and her contributions to speculative fiction.
-
E.
Kathryn Harrold
Kathryn Harrold is an American actress best known for her film and television work in the late 1970s and 1980s, including prominent roles in romantic comedies and dramas.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009181980481908fb49e464aef8734 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:28 a.m.