Triple
T19720865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathy Downs |
E473603
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cathy |
—
|
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: Cathy | Statement: [Cathy Downs, givenName, Cathy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cathy Context triple: [Cathy Downs, givenName, Cathy]
-
A.
Cathy
Cathy is the passionate, headstrong heroine of Emily Brontë’s novel "Wuthering Heights," whose intense relationships and inner turmoil drive much of the story’s drama.
-
B.
Cathy
Cathy is the central, tragic protagonist of the 1966 British television drama "Cathy Come Home," whose struggles with poverty and homelessness highlighted social issues and influenced public attitudes and policy.
-
C.
Cathy
Cathy is a singer known for performing the song "Still Hurting."
-
D.
Cathy
Cathy is a key supporting character in the 1968 crime thriller film "Bullitt," serving as the romantic partner of San Francisco police lieutenant Frank Bullitt.
-
E.
Cathy
chosen
Cathy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Catherine or Cathleen.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
Created at: April 10, 2026, 1:46 p.m.