Triple
T10367679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teachers |
E244296
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Raquel Cassidy |
E860589
|
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: Raquel Cassidy | Statement: [Teachers, hasCastMember, Raquel Cassidy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raquel Cassidy Context triple: [Teachers, hasCastMember, Raquel Cassidy]
-
A.
Raquel Cassidy
chosen
Raquel Cassidy is a British actress known for her roles in television series such as Downton Abbey and Lead Balloon.
-
B.
Joanna Cassidy
Joanna Cassidy is an American actress best known for her roles in films like Blade Runner and Who Framed Roger Rabbit, as well as numerous television appearances.
-
C.
Jacqueline Cruz
Jacqueline Cruz was the late mother of NBA star Karl-Anthony Towns, remembered for her close support of his career and her widely publicized death from COVID-19 complications.
-
D.
Celia Báez
Celia Báez is known as the spouse of Juan Sotomayor, a public figure.
-
E.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97106448190a075948e63184f47 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb8e96e081908282bb0f82719abe |
completed | April 9, 2026, 7:18 p.m. |
Created at: April 6, 2026, noon