Triple
T15305885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Career Girls |
E365895
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Ruth Sheen |
E588109
|
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: Ruth Sheen | Statement: [Career Girls, hasCastMember, Ruth Sheen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Sheen Context triple: [Career Girls, hasCastMember, Ruth Sheen]
-
A.
Ruth Sheen
chosen
Ruth Sheen is a British actress known for her frequent collaborations with director Mike Leigh in film, television, and theatre.
-
B.
Judy Ryan
Judy Ryan is a sports administrator who has served as the athletic director for the University of Maine's Maine Black Bears athletic program.
-
C.
Eileen Ryan
Eileen Ryan was an American actress known for her character roles in film and television and as the mother of actor and director Sean Penn.
-
D.
Gracie Ellen Mary Friel
Gracie Ellen Mary Friel is the daughter of English actor David Thewlis and actress Anna Friel.
-
E.
Sheila Ryan
Sheila Ryan was an American film actress and model who appeared in numerous 1940s Hollywood productions, including several for 20th Century Fox.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89d961481909be8dcc2864982c9 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.