Triple
T18552390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristiane Brahe |
E453408
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kristiane
Kristiane is a feminine given name of Scandinavian origin, historically used in Denmark and Norway.
|
E1330068
|
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: Kristiane | Statement: [Kristiane Brahe, givenName, Kristiane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristiane Context triple: [Kristiane Brahe, givenName, Kristiane]
-
A.
Christiane
Christiane is the given name of Christiane Nüsslein-Volhard, the Nobel Prize–winning German developmental biologist known for her pioneering work on genetic control of embryonic development.
-
B.
Krista
Krista is a feminine given name, typically considered a variant of Christina and used in various European and English-speaking countries.
-
C.
Kristen
Kristen is a central female character in the romantic comedy film "Think Like a Man," whose love life and personal growth are explored through the movie’s ensemble relationship dynamics.
-
D.
Kristen
Kristen is the birth name of Kris Jenner, the American television personality and matriarch of the Kardashian–Jenner family.
-
E.
Kristen
Kristen is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
- 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: Kristiane Triple: [Kristiane Brahe, givenName, Kristiane]
Generated description
Kristiane is a feminine given name of Scandinavian origin, historically used in Denmark and Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristiane Target entity description: Kristiane is a feminine given name of Scandinavian origin, historically used in Denmark and Norway.
-
A.
Christiane
Christiane is the given name of Christiane Nüsslein-Volhard, the Nobel Prize–winning German developmental biologist known for her pioneering work on genetic control of embryonic development.
-
B.
Krista
Krista is a feminine given name, typically considered a variant of Christina and used in various European and English-speaking countries.
-
C.
Kristen
Kristen is a central female character in the romantic comedy film "Think Like a Man," whose love life and personal growth are explored through the movie’s ensemble relationship dynamics.
-
D.
Kristen
Kristen is the birth name of Kris Jenner, the American television personality and matriarch of the Kardashian–Jenner family.
-
E.
Kristen
Kristen is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538019a74819099dbd255fb21fa95 |
completed | April 19, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049adfedf4819094904078d0707fec |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049c355cb08190a63addeba8293e5c |
completed | May 13, 2026, 3:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049cfa32588190a6e4abf128aced0a |
completed | May 13, 2026, 3:47 p.m. |
Created at: April 10, 2026, 11:38 a.m.