Triple
T13109077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amelia Warner |
E310922
|
entity |
| Predicate | hasMother |
P1909
|
FINISHED |
| Object | Annette Ekblom |
E251210
|
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: Annette Ekblom | Statement: [Amelia Warner, hasMother, Annette Ekblom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annette Ekblom Context triple: [Amelia Warner, hasMother, Annette Ekblom]
-
A.
Annette Ekblom
chosen
Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
-
B.
Marianne Engblom
Marianne Engblom is a former New York correction officer best known as a named plaintiff in the landmark U.S. constitutional case Engblom v. Carey, which addressed the application of the Third Amendment to state actions.
-
C.
Gunnel Persson
Gunnel Persson is a Swedish figure known primarily as the former spouse of Sweden’s ex-Prime Minister Göran Persson.
-
D.
Margareta Wästberg
Margareta Wästberg is known as the spouse of Swedish writer and literary figure Per Wästberg.
-
E.
Kerstin Ekman
Kerstin Ekman is a prominent Swedish novelist and former member of the Swedish Academy, known for her psychologically rich fiction and crime novels.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadad81c8190881e6577e1c2a207 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:05 p.m.