Triple
T17672789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lene |
E440566
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Lené
Lené is a given name, typically a feminine variant used in various European and Afrikaans-speaking contexts.
|
E1282000
|
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: Lené | Statement: [Lene, hasVariant, Lené]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lené Context triple: [Lene, hasVariant, Lené]
-
A.
Lana
Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
-
B.
Lana
Lana is a river in Albania that flows through the capital city of Tirana before joining the Tirana River.
-
C.
Lana
Lana is a professional wrestler and television personality best known for her time in WWE, where she appeared prominently as a manager and in-ring performer.
-
D.
Lana
Lana is the given name of actress Lana Condor, best known for starring in the "To All the Boys I've Loved Before" film series.
-
E.
Lana
Lana is a filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
- 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: Lené Triple: [Lene, hasVariant, Lené]
Generated description
Lené is a given name, typically a feminine variant used in various European and Afrikaans-speaking contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lené Target entity description: Lené is a given name, typically a feminine variant used in various European and Afrikaans-speaking contexts.
-
A.
Lana
Lana is a filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
-
B.
Lana
Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
-
C.
Lana
Lana is the ISO 15924 four-letter code used to represent the Tai Tham script in international standards.
-
D.
Lana
Lana is the given name of actress Lana Condor, best known for starring in the "To All the Boys I've Loved Before" film series.
-
E.
Lana
Lana is a river in Albania that flows through the capital city of Tirana before joining the Tirana River.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6aa64081908c9a82128a5a9024 |
completed | April 19, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0223222c748190bb7af6db695190ba |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a02240c8e988190999e58cd0b8e11b9 |
completed | May 11, 2026, 6:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a022486f4e88190999dd3c8a30139bc |
completed | May 11, 2026, 6:48 p.m. |
Created at: April 10, 2026, 10 a.m.