Triple
T1678616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Grant |
E36287
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Anna Eberstein
Anna Eberstein is a Swedish television producer and retail executive best known as the wife of British actor Hugh Grant.
|
E250374
|
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: Anna Eberstein | Statement: [Hugh Grant, spouse, Anna Eberstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Eberstein Context triple: [Hugh Grant, spouse, Anna Eberstein]
-
A.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
B.
Elsa Löwenthal
Elsa Löwenthal, better known as Elsa Einstein, was the second wife and cousin of physicist Albert Einstein and often managed his personal and social affairs.
-
C.
Alma Wassermann
Alma Wassermann was the wife of Nobel Prize–winning Yiddish author Isaac Bashevis Singer and a significant partner in his personal and literary life.
-
D.
Anna Schwarz
Anna Schwarz was the wife of Nobel Prize–winning German novelist and playwright Günter Grass.
-
E.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
- 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: Anna Eberstein Triple: [Hugh Grant, spouse, Anna Eberstein]
Generated description
Anna Eberstein is a Swedish television producer and retail executive best known as the wife of British actor Hugh Grant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Eberstein Target entity description: Anna Eberstein is a Swedish television producer and retail executive best known as the wife of British actor Hugh Grant.
-
A.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
B.
Elsa Löwenthal
Elsa Löwenthal, better known as Elsa Einstein, was the second wife and cousin of physicist Albert Einstein and often managed his personal and social affairs.
-
C.
Alma Wassermann
Alma Wassermann was the wife of Nobel Prize–winning Yiddish author Isaac Bashevis Singer and a significant partner in his personal and literary life.
-
D.
Anna Schwarz
Anna Schwarz was the wife of Nobel Prize–winning German novelist and playwright Günter Grass.
-
E.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa625f7e1081909c3c4fe76625783a |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae719e35e48190b43b2b2d7f40195a |
completed | March 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69ae73b5df288190af7d368b866d20a2 |
completed | March 9, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae7472fe948190b8df210de1afb159 |
completed | March 9, 2026, 7:19 a.m. |
Created at: March 4, 2026, 7:29 p.m.