Triple
T20254581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daisy Kadibil |
E498650
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Gracie Fields |
—
|
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: Gracie Fields | Statement: [Daisy Kadibil, hasRelative, Gracie Fields]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gracie Fields Context triple: [Daisy Kadibil, hasRelative, Gracie Fields]
-
A.
Gracie Fields
chosen
Gracie Fields was a popular British singer, comedian, and actress of the early to mid-20th century, renowned for her warm, working-class persona and hit songs in music hall and film.
-
B.
Hattie Jacques
Hattie Jacques was a British comic actress best known for her roles in the "Carry On" film series and her work on radio and television comedy in the mid-20th century.
-
C.
Lillian Bohny
Lillian Bohny is an individual associated with the use or authorship of works or materials attributed to the name Bohny.
-
D.
Flora Robson
Flora Robson was a distinguished British actress known for her powerful character roles in both stage and film, often portraying strong, authoritative women.
-
E.
Peggy Page
Peggy Page is a fictional character known as the daughter of Neal Page in the 1987 comedy film "Planes, Trains and Automobiles."
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673aa42348190852ae8313f4494ca |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.