Triple
T13180467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursula |
E313707
|
entity |
| Predicate | isUsedBy |
P1480
|
FINISHED |
| Object |
Ursula Meier
Ursula Meier is a Swiss-French film director and screenwriter known for acclaimed works such as "Home" and "Sister," which often explore family dynamics and social marginalization.
|
E1032395
|
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: Ursula Meier | Statement: [Ursula, isUsedBy, Ursula Meier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ursula Meier Context triple: [Ursula, isUsedBy, Ursula Meier]
-
A.
Nadja Schildknecht
Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
-
B.
Katja Eichinger
Katja Eichinger is a German author and journalist known for her work on film and culture, as well as for being married to the late film producer Bernd Eichinger.
-
C.
Nina Eichinger
Nina Eichinger is a German television presenter and actress known for her work on various entertainment and music programs.
-
D.
Ursula Paetsch
Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
-
E.
Ines Knauss
Ines Knauss is an Austrian-born artist best known as the sister of former U.S. First Lady Melania Trump.
- 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: Ursula Meier Triple: [Ursula, isUsedBy, Ursula Meier]
Generated description
Ursula Meier is a Swiss-French film director and screenwriter known for acclaimed works such as "Home" and "Sister," which often explore family dynamics and social marginalization.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ursula Meier Target entity description: Ursula Meier is a Swiss-French film director and screenwriter known for acclaimed works such as "Home" and "Sister," which often explore family dynamics and social marginalization.
-
A.
Nadja Schildknecht
Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
-
B.
Katja Eichinger
Katja Eichinger is a German author and journalist known for her work on film and culture, as well as for being married to the late film producer Bernd Eichinger.
-
C.
Nina Eichinger
Nina Eichinger is a German television presenter and actress known for her work on various entertainment and music programs.
-
D.
Ursula Paetsch
Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
-
E.
Ines Knauss
Ines Knauss is an Austrian-born artist best known as the sister of former U.S. First Lady Melania Trump.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c1080c81908057f92f320a855b |
completed | May 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69f7177e07508190b46e6a12f09e7986 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f717e72b988190927b628022bcbf12 |
completed | May 3, 2026, 9:39 a.m. |
Created at: April 9, 2026, 9:14 p.m.