Triple
T12433772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcel Janco |
E297092
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lilly Janco
Lilly Janco was the wife of Romanian-Israeli artist and Dada movement co-founder Marcel Janco.
|
E990333
|
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: Lilly Janco | Statement: [Marcel Janco, spouse, Lilly Janco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilly Janco Context triple: [Marcel Janco, spouse, Lilly Janco]
-
A.
Lili Daurier
Lili Daurier is the innocent, imaginative young heroine of the musical and film "Lili," whose friendship with carnival puppets helps her navigate loneliness and emotional turmoil.
-
B.
Lilly Wust
Lilly Wust was a German housewife in Nazi-era Berlin whose real-life love affair with the Jewish woman Felice Schragenheim inspired the story depicted in "Aimée & Jaguar."
-
C.
Lila Schwarzenberg
Lila Schwarzenberg is an Austrian journalist, philanthropist, and former Czech countess known for her cultural and charitable work in Europe.
-
D.
Elsa Spoliansky
Elsa Spoliansky was a close family member of the renowned Russian-born German composer Mischa Spoliansky, associated with his personal and artistic milieu.
-
E.
Lilly Greenfield
Lilly Greenfield is the daughter of American actor Max Greenfield.
- 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: Lilly Janco Triple: [Marcel Janco, spouse, Lilly Janco]
Generated description
Lilly Janco was the wife of Romanian-Israeli artist and Dada movement co-founder Marcel Janco.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lilly Janco Target entity description: Lilly Janco was the wife of Romanian-Israeli artist and Dada movement co-founder Marcel Janco.
-
A.
Lili Daurier
Lili Daurier is the innocent, imaginative young heroine of the musical and film "Lili," whose friendship with carnival puppets helps her navigate loneliness and emotional turmoil.
-
B.
Lilly Wust
Lilly Wust was a German housewife in Nazi-era Berlin whose real-life love affair with the Jewish woman Felice Schragenheim inspired the story depicted in "Aimée & Jaguar."
-
C.
Lila Schwarzenberg
Lila Schwarzenberg is an Austrian journalist, philanthropist, and former Czech countess known for her cultural and charitable work in Europe.
-
D.
Elsa Spoliansky
Elsa Spoliansky was a close family member of the renowned Russian-born German composer Mischa Spoliansky, associated with his personal and artistic milieu.
-
E.
Lilly Greenfield
Lilly Greenfield is the daughter of American actor Max Greenfield.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d804c2c819082f2f86edcbb50de |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6556686448190ad408b826ebc01c0 |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f656d02afc81909712182034bec255 |
completed | May 2, 2026, 7:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657ea0c6c8190992a0101904e92f2 |
completed | May 2, 2026, 8 p.m. |
Created at: April 8, 2026, 9:55 p.m.