Triple
T10323053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Kahn |
E242687
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Annette Walle
Annette Walle is an actress known for appearing in the film "Esther Kahn."
|
E857053
|
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: Annette Walle | Statement: [Esther Kahn, hasCastMember, Annette Walle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annette Walle Context triple: [Esther Kahn, hasCastMember, Annette Walle]
-
A.
Annette Ekblom
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.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
-
C.
Eva Karl
Eva Karl was the German mother of Soraya Esfandiary-Bakhtiary, the former Queen consort of Iran and second wife of Shah Mohammad Reza Pahlavi.
-
D.
Yvonne Eckert
Yvonne Eckert is a notable individual recognized as a prominent bearer of the surname Eckert.
-
E.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
- 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: Annette Walle Triple: [Esther Kahn, hasCastMember, Annette Walle]
Generated description
Annette Walle is an actress known for appearing in the film "Esther Kahn."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annette Walle Target entity description: Annette Walle is an actress known for appearing in the film "Esther Kahn."
-
A.
Annette Ekblom
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.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
-
C.
Eva Karl
Eva Karl was the German mother of Soraya Esfandiary-Bakhtiary, the former Queen consort of Iran and second wife of Shah Mohammad Reza Pahlavi.
-
D.
Yvonne Eckert
Yvonne Eckert is a notable individual recognized as a prominent bearer of the surname Eckert.
-
E.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cdb6cc8190b37ca4494287128b |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7503f3df88190bc5acb5e5295f787 |
completed | April 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69d7516a4d088190b3e3b86956b6b821 |
completed | April 9, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d75200eecc819094e261c9fa7c75f5 |
completed | April 9, 2026, 7:15 a.m. |
Created at: April 6, 2026, 11:50 a.m.