Triple
T10721297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liv Ullmann |
E252827
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ullmann
Ullmann is a Norwegian actress and film director renowned for her intense performances in Ingmar Bergman’s films and her influential contributions to European cinema.
|
E882120
|
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: Ullmann | Statement: [Liv Ullmann, familyName, Ullmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ullmann Context triple: [Liv Ullmann, familyName, Ullmann]
-
A.
Eschenmoser
Eschenmoser is a Swiss surname most notably associated with Albert Eschenmoser, a prominent organic chemist known for his pioneering work in the synthesis of complex natural products and studies on the origin of life.
-
B.
Gomberg
Gomberg is a surname most notably associated with American screenwriter and producer Sy Gomberg.
-
C.
Treuttel et Würtz
Treuttel et Würtz was a prominent 19th-century European publishing and bookselling firm known for issuing scholarly and scientific works.
-
D.
Beilstein
Beilstein is a small historic town in western Germany, known for its medieval architecture and picturesque setting in the Lahn region.
-
E.
Gmelin
Gmelin is a German surname historically associated with several notable scientists, including chemists, botanists, and naturalists.
- 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: Ullmann Triple: [Liv Ullmann, familyName, Ullmann]
Generated description
Ullmann is a Norwegian actress and film director renowned for her intense performances in Ingmar Bergman’s films and her influential contributions to European cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ullmann Target entity description: Ullmann is a Norwegian actress and film director renowned for her intense performances in Ingmar Bergman’s films and her influential contributions to European cinema.
-
A.
Eschenmoser
Eschenmoser is a Swiss surname most notably associated with Albert Eschenmoser, a prominent organic chemist known for his pioneering work in the synthesis of complex natural products and studies on the origin of life.
-
B.
Gomberg
Gomberg is a surname most notably associated with American screenwriter and producer Sy Gomberg.
-
C.
Treuttel et Würtz
Treuttel et Würtz was a prominent 19th-century European publishing and bookselling firm known for issuing scholarly and scientific works.
-
D.
Beilstein
Beilstein is a small historic town in western Germany, known for its medieval architecture and picturesque setting in the Lahn region.
-
E.
Gmelin
Gmelin is a German surname historically associated with several notable scientists, including chemists, botanists, and naturalists.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d43655081909b071100c96cb4f6 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb72b9ce08190a9134f3365d3f8cb |
completed | April 12, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69dbbbe545748190b2bdbc3a75224eb0 |
completed | April 12, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbc59b315081909362892f5b989d25 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:13 p.m.