Triple
T9553262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nena |
E230474
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Larissa Marie
Larissa Marie is the daughter of German pop singer Nena, a prominent figure in 1980s Neue Deutsche Welle music.
|
E808391
|
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: Larissa Marie | Statement: [Nena, hasChild, Larissa Marie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larissa Marie Context triple: [Nena, hasChild, Larissa Marie]
-
A.
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
-
B.
Natasha Braier
Natasha Braier is an Argentine cinematographer known for her visually distinctive work on independent and art-house films such as "The Neon Demon" and "Somers Town."
-
C.
Justine Cotsonas
Justine Cotsonas is an American actress known for her work in television dramas and streaming series.
-
D.
Juliana Stratton
Juliana Stratton is an American politician and attorney who serves as the lieutenant governor of Illinois, working alongside the governor on state policy and administration.
-
E.
Leah Salisbury
Leah Salisbury was the wife of American playwright and screenwriter Sidney Howard.
- 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: Larissa Marie Triple: [Nena, hasChild, Larissa Marie]
Generated description
Larissa Marie is the daughter of German pop singer Nena, a prominent figure in 1980s Neue Deutsche Welle music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larissa Marie Target entity description: Larissa Marie is the daughter of German pop singer Nena, a prominent figure in 1980s Neue Deutsche Welle music.
-
A.
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
-
B.
Natasha Braier
Natasha Braier is an Argentine cinematographer known for her visually distinctive work on independent and art-house films such as "The Neon Demon" and "Somers Town."
-
C.
Justine Cotsonas
Justine Cotsonas is an American actress known for her work in television dramas and streaming series.
-
D.
Juliana Stratton
Juliana Stratton is an American politician and attorney who serves as the lieutenant governor of Illinois, working alongside the governor on state policy and administration.
-
E.
Leah Salisbury
Leah Salisbury was the wife of American playwright and screenwriter Sidney Howard.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99217de48190b528e14fd02ee987 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1613b16dc8190b00a45596ccd7fbc |
completed | April 4, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69d161f4c7588190bbc9c022f84853e1 |
completed | April 4, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d16258580c8190896bf0a4655d35f7 |
completed | April 4, 2026, 7:11 p.m. |
Created at: March 30, 2026, 8:02 p.m.