Triple
T4457336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Grodin |
E97760
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Grodin
Grodin is the surname of Charles Grodin, an American actor, comedian, and writer known for his deadpan performances in film and television.
|
E442129
|
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: Grodin | Statement: [Charles Grodin, familyName, Grodin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grodin Context triple: [Charles Grodin, familyName, Grodin]
-
A.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
-
B.
Elbling
Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
-
C.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
-
D.
Geva
Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
-
E.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
- 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: Grodin Triple: [Charles Grodin, familyName, Grodin]
Generated description
Grodin is the surname of Charles Grodin, an American actor, comedian, and writer known for his deadpan performances in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grodin Target entity description: Grodin is the surname of Charles Grodin, an American actor, comedian, and writer known for his deadpan performances in film and television.
-
A.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
-
B.
Elbling
Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
-
C.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
-
D.
Geva
Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
-
E.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356434e9481908f883c09e0908f6b |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6282ea6308190b726a9f8176d4d1b |
completed | March 15, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69b6295218e88190a48e8bfeb2febe2e |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62b05bcec8190a0c8d1c0e5a62c75 |
completed | March 15, 2026, 3:44 a.m. |
Created at: March 12, 2026, 11:33 p.m.