Triple
T10267273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krystal |
E240739
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object |
Kristel
Kristel is a given name commonly used for women in various countries, often considered a variant of Crystal/Krystal.
|
E853045
|
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: Kristel | Statement: [Krystal, relatedName, Kristel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristel Context triple: [Krystal, relatedName, Kristel]
-
A.
Cristolienne
Cristolienne is the French term for a female inhabitant or native of the city of Créteil, located in the southeastern suburbs of Paris.
-
B.
Christianne
Christianne is a feminine given name of Latin origin, commonly used in German- and English-speaking countries.
-
C.
Katarina Church
Katarina Church is a historic Lutheran church in central Stockholm, Sweden, known for its Baroque architecture and prominent hilltop location on Södermalm.
-
D.
Kristian
Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
-
E.
Crist
Crist is a surname most prominently associated with American politician Charlie Crist, a former governor of Florida.
- 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: Kristel Triple: [Krystal, relatedName, Kristel]
Generated description
Kristel is a given name commonly used for women in various countries, often considered a variant of Crystal/Krystal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristel Target entity description: Kristel is a given name commonly used for women in various countries, often considered a variant of Crystal/Krystal.
-
A.
Cristolienne
Cristolienne is the French term for a female inhabitant or native of the city of Créteil, located in the southeastern suburbs of Paris.
-
B.
Christianne
Christianne is a feminine given name of Latin origin, commonly used in German- and English-speaking countries.
-
C.
Katarina Church
Katarina Church is a historic Lutheran church in central Stockholm, Sweden, known for its Baroque architecture and prominent hilltop location on Södermalm.
-
D.
Kristian
Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
-
E.
Crist
Crist is a surname most prominently associated with American politician Charlie Crist, a former governor of Florida.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d26df80081908514fd5c9392e2b7 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f805d49c8190becddbbf17ac65fd |
completed | April 9, 2026, 12:51 a.m. |
| NEDg | Description generation | batch_69d6fcaca55c81908a48ac2a0ce24b85 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd772bc08190bf270f5fc767fb29 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:34 a.m.