Triple
T18851477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elly Schlein |
E461049
|
entity |
| Predicate | hasMother |
P1909
|
FINISHED |
| Object |
Maria Paola Viviani Schlein
Maria Paola Viviani Schlein is the mother of Italian politician Elly Schlein.
|
E1345594
|
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: Maria Paola Viviani Schlein | Statement: [Elly Schlein, hasMother, Maria Paola Viviani Schlein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Paola Viviani Schlein Context triple: [Elly Schlein, hasMother, Maria Paola Viviani Schlein]
-
A.
Andrea Petkovic
Andrea Petkovic is a retired German professional tennis player known for her powerful baseline game, top-10 singles ranking, and multiple WTA titles.
-
B.
Katharina Schüttler
Katharina Schüttler is a German actress known for her versatile performances in film, television, and theater.
-
C.
Sara Errani
Sara Errani is an Italian professional tennis player best known for her success on clay courts and as a former world No. 1 in doubles.
-
D.
Yanina Wickmayer
Yanina Wickmayer is a Belgian professional tennis player known for her powerful baseline game and for reaching the semifinals of the 2009 US Open.
-
E.
Martina Gedeck
Martina Gedeck is a German actress acclaimed for her versatile performances in film and television, including prominent roles in internationally recognized dramas.
- 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: Maria Paola Viviani Schlein Triple: [Elly Schlein, hasMother, Maria Paola Viviani Schlein]
Generated description
Maria Paola Viviani Schlein is the mother of Italian politician Elly Schlein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Paola Viviani Schlein Target entity description: Maria Paola Viviani Schlein is the mother of Italian politician Elly Schlein.
-
A.
Andrea Petkovic
Andrea Petkovic is a retired German professional tennis player known for her powerful baseline game, top-10 singles ranking, and multiple WTA titles.
-
B.
Katharina Schüttler
Katharina Schüttler is a German actress known for her versatile performances in film, television, and theater.
-
C.
Sara Errani
Sara Errani is an Italian professional tennis player best known for her success on clay courts and as a former world No. 1 in doubles.
-
D.
Yanina Wickmayer
Yanina Wickmayer is a Belgian professional tennis player known for her powerful baseline game and for reaching the semifinals of the 2009 US Open.
-
E.
Martina Gedeck
Martina Gedeck is a German actress acclaimed for her versatile performances in film and television, including prominent roles in internationally recognized dramas.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05995e88190b189864fcbda68e5 |
completed | April 20, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0567799c5c8190834e578cae97b3ba |
completed | May 14, 2026, 6:11 a.m. |
| NEDg | Description generation | batch_6a056b4acd00819083be23d698cf8ded |
completed | May 14, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056beea0e88190987589c3d25ddd07 |
completed | May 14, 2026, 6:30 a.m. |
Created at: April 10, 2026, 11:56 a.m.