Triple
T12524621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Friel |
E299403
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Anna Friel |
E299403
|
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: Anna Friel | Statement: [Anna Friel, name, Anna Friel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Friel Context triple: [Anna Friel, name, Anna Friel]
-
A.
Anna Friel
chosen
Anna Friel is an English actress known for her versatile performances in television, film, and theatre, including her acclaimed role in the series "Pushing Daisies."
-
B.
Kara Tointon
Kara Tointon is an English actress best known for her roles in television dramas and soap operas such as EastEnders and for winning the BBC competition Strictly Come Dancing.
-
C.
Alison Pill
Alison Pill is a Canadian actress known for her versatile performances in film, television, and theater, including prominent roles in projects like "Scott Pilgrim vs. the World," "The Newsroom," and "Star Trek: Picard."
-
D.
Ruth Gemmell
Ruth Gemmell is a British actress best known for her roles in the film "Fever Pitch" and the television series "Bridgerton."
-
E.
Lia Williams
Lia Williams is a British actress and director known for her work in film, television, and theatre, including acclaimed performances in productions such as "The Crown" and "The Foreigner."
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545c2aa081908e8a5a94d30e23eb |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbb096d881908dfd2a7126632d96 |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 8, 2026, 9:57 p.m.