Triple
T4205488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Men |
E86172
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Franz
Franz is a character in Louisa May Alcott's novel "Little Men," one of the boys at Plumfield School whose experiences reflect the book's themes of growth, education, and moral development.
|
E445025
|
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: Franz | Statement: [Little Men, mainCharacter, Franz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franz Context triple: [Little Men, mainCharacter, Franz]
-
A.
Franz
Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
-
B.
Alois
Alois is a masculine given name of Germanic origin, notably borne by Alois Hitler, the father of Adolf Hitler.
-
C.
Nikolaus
Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
-
D.
Gustav
Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
-
E.
Moritz
Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
- 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: Franz Triple: [Little Men, mainCharacter, Franz]
Generated description
Franz is a character in Louisa May Alcott's novel "Little Men," one of the boys at Plumfield School whose experiences reflect the book's themes of growth, education, and moral development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franz Target entity description: Franz is a character in Louisa May Alcott's novel "Little Men," one of the boys at Plumfield School whose experiences reflect the book's themes of growth, education, and moral development.
-
A.
Franz
Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
-
B.
Alois
Alois is a masculine given name of Germanic origin, notably borne by Alois Hitler, the father of Adolf Hitler.
-
C.
Nikolaus
Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
-
D.
Gustav
Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
-
E.
Moritz
Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03844314819092639ed7d6ef2c6e |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6721dcf28819080b6a265152059e9 |
completed | March 15, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69b672b5c10481909641c943dda0632c |
completed | March 15, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6732ae3f88190afb2405dc93c7cd4 |
completed | March 15, 2026, 8:51 a.m. |
Created at: March 9, 2026, 3:49 p.m.