Triple
T9329904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwig Bemelmans |
E224488
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Life Class
Life Class is a lesser-known book by Ludwig Bemelmans, the Austrian-American author and illustrator best known for his "Madeline" children's series.
|
E791279
|
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: Life Class | Statement: [Ludwig Bemelmans, notableWork, Life Class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Life Class Context triple: [Ludwig Bemelmans, notableWork, Life Class]
-
A.
Young Classic
Young Classic is the English name for "Clásico Joven," a prominent Mexican football rivalry match between Club América and Cruz Azul.
-
B.
Junior
Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
-
C.
Junior
Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
-
D.
Ever Grade
Ever Grade is a large container ship operated by Evergreen Marine and part of the same vessel class as the famously wedged Suez Canal ship Ever Given.
-
E.
Younger
Younger is a television comedy-drama series about a 40-year-old woman who pretends to be in her twenties to reenter the competitive publishing industry.
- 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: Life Class Triple: [Ludwig Bemelmans, notableWork, Life Class]
Generated description
Life Class is a lesser-known book by Ludwig Bemelmans, the Austrian-American author and illustrator best known for his "Madeline" children's series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Life Class Target entity description: Life Class is a lesser-known book by Ludwig Bemelmans, the Austrian-American author and illustrator best known for his "Madeline" children's series.
-
A.
Young Classic
Young Classic is the English name for "Clásico Joven," a prominent Mexican football rivalry match between Club América and Cruz Azul.
-
B.
Junior
Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
-
C.
Junior
Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
-
D.
Ever Grade
Ever Grade is a large container ship operated by Evergreen Marine and part of the same vessel class as the famously wedged Suez Canal ship Ever Given.
-
E.
Younger
Younger is a television comedy-drama series about a 40-year-old woman who pretends to be in her twenties to reenter the competitive publishing industry.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37acbc04819092a67d7f392c74cd |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7fca954819086f695be973b227e |
completed | April 4, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_69d0c8b6eac48190958910ab85250254 |
completed | April 4, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0cb44ad9881909de7b81ae05a9a6e |
completed | April 4, 2026, 8:26 a.m. |
Created at: March 30, 2026, 7:39 p.m.