Triple
T10964364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Houdini |
E259056
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Cecília Steiner
Cecília Steiner was the mother of famed illusionist and escape artist Harry Houdini.
|
E909615
|
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: Cecília Steiner | Statement: [Harry Houdini, parent, Cecília Steiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cecília Steiner Context triple: [Harry Houdini, parent, Cecília Steiner]
-
A.
Felícia Leirner
Felícia Leirner was a Polish-born Brazilian sculptor known for her modernist works and for the museum and sculpture park in Campos do Jordão that bear her name.
-
B.
Aida Stucki
Aida Stucki was a renowned Swiss violinist and influential pedagogue best known for mentoring celebrated virtuoso Anne-Sophie Mutter.
-
C.
Gabriela Bacher
Gabriela Bacher is a film producer known for her work on projects such as Terry Gilliam’s science-fiction film "The Zero Theorem."
-
D.
Luisa Haag
Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
-
E.
Caterina Ganz
Caterina Ganz is an Italian cross-country skier who competes at the international level, representing Italy in major World Cup and championship events.
- 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: Cecília Steiner Triple: [Harry Houdini, parent, Cecília Steiner]
Generated description
Cecília Steiner was the mother of famed illusionist and escape artist Harry Houdini.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cecília Steiner Target entity description: Cecília Steiner was the mother of famed illusionist and escape artist Harry Houdini.
-
A.
Felícia Leirner
Felícia Leirner was a Polish-born Brazilian sculptor known for her modernist works and for the museum and sculpture park in Campos do Jordão that bear her name.
-
B.
Aida Stucki
Aida Stucki was a renowned Swiss violinist and influential pedagogue best known for mentoring celebrated virtuoso Anne-Sophie Mutter.
-
C.
Gabriela Bacher
Gabriela Bacher is a film producer known for her work on projects such as Terry Gilliam’s science-fiction film "The Zero Theorem."
-
D.
Luisa Haag
Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
-
E.
Caterina Ganz
Caterina Ganz is an Italian cross-country skier who competes at the international level, representing Italy in major World Cup and championship events.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77147f7108190a3b68ba1dd1c130e |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4830a903481909eaf327457eabf2b |
completed | April 19, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69e485f46f0c81908dbe5b47322ab7b7 |
completed | April 19, 2026, 7:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4878dd95c81908ceaf91ee46f49c1 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.