Triple
T18126413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathryn Damon |
E433886
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cathryn Damon |
—
|
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: Cathryn Damon | Statement: [Cathryn Damon, name, Cathryn Damon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cathryn Damon Context triple: [Cathryn Damon, name, Cathryn Damon]
-
A.
Cathryn Damon
chosen
Cathryn Damon was an American actress best known for her Emmy-winning role as Mary Campbell on the satirical television sitcom "Soap."
-
B.
Alison McCord
Alison McCord is a fictional character on the political drama series "Madam Secretary," known as the intelligent and grounded daughter of Secretary of State Elizabeth McCord.
-
C.
Catherine Raney
Catherine Raney is an American long track speed skater and four-time Olympian recognized as one of the nation’s top competitors in her sport.
-
D.
Kathryn Railly
Kathryn Railly is a psychiatrist who becomes a key ally and companion to time traveler James Cole in the science fiction film "12 Monkeys."
-
E.
Karen Daly
Karen Daly is the sister of British television presenter Tess Daly.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddee1efc8190b04324b98de5c9d0 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.