Triple
T14567302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Immigrant |
E341816
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Emil
Emil is a central character in the film "The Immigrant," whose experiences embody the struggles and hopes of newcomers seeking a better life in a foreign land.
|
E1108438
|
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: Emil | Statement: [The Immigrant, character, Emil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emil Context triple: [The Immigrant, character, Emil]
-
A.
Emil
Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
-
B.
Emil
Emil is a given name notably borne by Emile Berliner, the German-American inventor best known for developing the gramophone and flat disc record.
-
C.
Emil
Emil is a masculine given name used in various European languages, often associated with Latin and Germanic origins.
-
D.
Emil
Emil is a fictional character from Louisa May Alcott's novel "Jo's Boys," where he appears as one of the next generation of Plumfield children whose adult lives and adventures are followed.
-
E.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European 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: Emil Triple: [The Immigrant, character, Emil]
Generated description
Emil is a central character in the film "The Immigrant," whose experiences embody the struggles and hopes of newcomers seeking a better life in a foreign land.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emil Target entity description: Emil is a central character in the film "The Immigrant," whose experiences embody the struggles and hopes of newcomers seeking a better life in a foreign land.
-
A.
Emil
Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
-
B.
Emil
Emil is a fictional character from Louisa May Alcott's novel "Jo's Boys," where he appears as one of the next generation of Plumfield children whose adult lives and adventures are followed.
-
C.
Emil
Emil is a given name notably borne by Emile Berliner, the German-American inventor best known for developing the gramophone and flat disc record.
-
D.
Emil
Emil is a masculine given name used in various European languages, often associated with Latin and Germanic origins.
-
E.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b4013881908fddb8b3cf8494de |
completed | May 8, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fd980aeb888190a02d958705f21a35 |
completed | May 8, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd9955f2288190a5ce924a30e21588 |
completed | May 8, 2026, 8:05 a.m. |
Created at: April 10, 2026, 1:23 a.m.