Triple
T12524650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Friel |
E299403
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Marcella Backland
Marcella Backland is the troubled, amnesiac London detective protagonist of the British crime drama series "Marcella."
|
E986666
|
NE FINISHED |
How this triple was built (4 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: Marcella Backland | Statement: [Anna Friel, characterPortrayed, Marcella Backland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcella Backland Context triple: [Anna Friel, characterPortrayed, Marcella Backland]
-
A.
Marcella Spruce
Marcella Spruce is the sister of American author Tabitha King and a member of the extended King literary family.
-
B.
Marcella Niehoff
Marcella Niehoff was a pioneering American nurse and educator whose legacy in advancing nursing education is commemorated by the nursing school that bears her name.
-
C.
Barbara Havelone
Barbara Havelone is best known as the wife of American actor Lee Van Cleef, a prominent figure in classic Western films.
-
D.
Antonia Van Drimmelen
Antonia Van Drimmelen is a film editor known for her work on the political drama film "Charlie Wilson's War."
-
E.
Marcella Brenner
Marcella Brenner was an American arts educator and philanthropist known for her support of the arts and her connection to the Washington, D.C. cultural community.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marcella Backland Triple: [Anna Friel, characterPortrayed, Marcella Backland]
Generated description
Marcella Backland is the troubled, amnesiac London detective protagonist of the British crime drama series "Marcella."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcella Backland Target entity description: Marcella Backland is the troubled, amnesiac London detective protagonist of the British crime drama series "Marcella."
-
A.
Marcella Spruce
Marcella Spruce is the sister of American author Tabitha King and a member of the extended King literary family.
-
B.
Marcella Niehoff
Marcella Niehoff was a pioneering American nurse and educator whose legacy in advancing nursing education is commemorated by the nursing school that bears her name.
-
C.
Barbara Havelone
Barbara Havelone is best known as the wife of American actor Lee Van Cleef, a prominent figure in classic Western films.
-
D.
Antonia Van Drimmelen
Antonia Van Drimmelen is a film editor known for her work on the political drama film "Charlie Wilson's War."
-
E.
Marcella Brenner
Marcella Brenner was an American arts educator and philanthropist known for her support of the arts and her connection to the Washington, D.C. cultural community.
- F. None of above. chosen
Provenance (5 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_69f64bc159c88190835fea5c0d9ee799 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64def9a6081908c3048f948829051 |
completed | May 2, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64ea1719c8190b91ffaab60db25ad |
completed | May 2, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:57 p.m.