Triple
T10513683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Syms |
E247978
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sylvia Syms |
E247978
|
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: Sylvia Syms | Statement: [Sylvia Syms, name, Sylvia Syms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Syms Context triple: [Sylvia Syms, name, Sylvia Syms]
-
A.
Sylvia Syms
chosen
Sylvia Syms was a distinguished British actress known for her extensive film, television, and stage career spanning over six decades, including prominent roles in classic British cinema.
-
B.
Joan Sims
Joan Sims was a prolific English comedy actress best known for her roles in the "Carry On" film series and numerous British television and stage productions.
-
C.
Rita Tushingham
Rita Tushingham is an English actress known for her distinctive, wide-eyed look and acclaimed performances in 1960s British cinema, including key roles in films of the British New Wave.
-
D.
Natasha Wightman
Natasha Wightman is a British actress best known for her role in the dystopian political thriller film "V for Vendetta."
-
E.
Claire Bloom
Claire Bloom is an acclaimed English actress known for her distinguished stage and screen career, including prominent roles in classic films, television dramas, and Shakespearean productions.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cade0c81908fcbd54a90106bf9 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b13f4fc8190863d6e1aa7da5733 |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:27 p.m.