Triple
T4432916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlene |
E95375
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Lene
Lene is a feminine given name, commonly used in Scandinavian and German-speaking countries, often as a short form of longer names like Helene or Marlene.
|
E440566
|
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: Lene | Statement: [Charlene, hasDiminutive, Lene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lene Context triple: [Charlene, hasDiminutive, Lene]
-
A.
Lena Ek
Lena Ek is a Swedish Centre Party politician and former Minister for the Environment in Sweden.
-
B.
Ada Vilstrup
Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
-
C.
Eja Lange
Eja Lange is the son of Canadian country-pop singer Shania Twain and her former husband, producer Robert John "Mutt" Lange.
-
D.
Lena Nyman
Lena Nyman was a Swedish actress known for her emotionally intense and nuanced performances in both film and theater, particularly in influential Scandinavian cinema of the 1960s and 1970s.
-
E.
Charlotte Bruus Christensen
Charlotte Bruus Christensen is a Danish cinematographer known for her atmospheric, naturalistic visual style in films such as "A Quiet Place" and "Fences."
- 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: Lene Triple: [Charlene, hasDiminutive, Lene]
Generated description
Lene is a feminine given name, commonly used in Scandinavian and German-speaking countries, often as a short form of longer names like Helene or Marlene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lene Target entity description: Lene is a feminine given name, commonly used in Scandinavian and German-speaking countries, often as a short form of longer names like Helene or Marlene.
-
A.
Lena Ek
Lena Ek is a Swedish Centre Party politician and former Minister for the Environment in Sweden.
-
B.
Ada Vilstrup
Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
-
C.
Eja Lange
Eja Lange is the son of Canadian country-pop singer Shania Twain and her former husband, producer Robert John "Mutt" Lange.
-
D.
Lena Nyman
Lena Nyman was a Swedish actress known for her emotionally intense and nuanced performances in both film and theater, particularly in influential Scandinavian cinema of the 1960s and 1970s.
-
E.
Charlotte Bruus Christensen
Charlotte Bruus Christensen is a Danish cinematographer known for her atmospheric, naturalistic visual style in films such as "A Quiet Place" and "Fences."
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3556cd83881908547aa311c4f17fa |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137171148190b77a6f783d5cf315 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b6177d1a588190991fddf506239d22 |
completed | March 15, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b61b6bc1448190b30d444a821bb1a5 |
completed | March 15, 2026, 2:37 a.m. |
Created at: March 12, 2026, 11:31 p.m.