Triple
T10628068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Grant |
E250374
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Anna Eberstein |
E250374
|
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 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.
Anna Eberstein
chosen
Anna Eberstein is a Swedish television producer and retail executive best known as the wife of British actor Hugh Grant.
-
B.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
C.
Anna Wimschneider
Anna Wimschneider was a German farmer and autobiographical writer best known for her memoir "Herbstmilch," which depicts her impoverished rural upbringing and life in early 20th-century Bavaria.
-
D.
Aniela Jaffé
Aniela Jaffé was a Swiss analyst and writer best known as a close collaborator and biographer of Carl Gustav Jung, helping to record and shape his autobiographical work and ideas.
-
E.
Luise Straus-Ernst
Luise Straus-Ernst was a German art historian, critic, and writer associated with the Dada and Surrealist movements, who later became a victim of the Holocaust.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df9228088190bdd57a95d8671618 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6f0eee08190b4187671356e47ca |
completed | April 12, 2026, 3:14 p.m. |
Created at: April 8, 2026, 8:57 p.m.