Triple
T8889661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toxic |
E211631
|
entity |
| Predicate | songwriter |
P1141
|
FINISHED |
| Object | Cathy Dennis |
E664056
|
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: Cathy Dennis | Statement: [Toxic, songwriter, Cathy Dennis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cathy Dennis Context triple: [Toxic, songwriter, Cathy Dennis]
-
A.
Cathy Dennis
chosen
Cathy Dennis is a British singer-songwriter and former pop star best known for penning major hits for artists like Kylie Minogue, Britney Spears, and Katy Perry.
-
B.
Cathy Rich
Cathy Rich is an American jazz vocalist and bandleader best known as the daughter of legendary drummer Buddy Rich and for leading tribute performances of his music.
-
C.
Cathy Lane
Cathy Lane is the sophisticated, British-identical cousin of Patty Lane on the 1960s American sitcom "The Patty Duke Show."
-
D.
Diane Hegarty
Diane Hegarty was an American occultist and co-founder and High Priestess of the Church of Satan, known for her long partnership and collaboration with Anton LaVey.
-
E.
Susan Ekins
Susan Ekins is a film producer best known for her work on major Hollywood projects, including the heist comedy "Ocean's 8."
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618f94108190b03248832bfe68a9 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabe955e08190a8d61cfaa2d52731 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:53 p.m.