Triple
T18092509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don DeVito |
E433005
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
DeVito
DeVito is an Italian-origin surname shared by various notable individuals in entertainment and other fields.
|
E1304911
|
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: DeVito | Statement: [Don DeVito, familyName, DeVito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeVito Context triple: [Don DeVito, familyName, DeVito]
-
A.
Basil DeVito
Basil DeVito is a sports executive best known for helping launch and lead the original XFL football league as its first commissioner.
-
B.
Joe DeVito
Joe DeVito is an American artist and writer best known for expanding the King Kong universe through his illustrated novel and related works.
-
C.
Hank DeVito
Hank DeVito is an American country musician and renowned pedal steel guitarist best known for his work with Emmylou Harris and other prominent artists in the 1970s and 1980s.
-
D.
Jake DeVito
Jake DeVito is an American film and television producer and occasional actor, known for his behind-the-scenes work on various independent and documentary projects.
-
E.
Don DeVito
Don DeVito was an American record producer and music industry executive best known for his work with Bob Dylan at Columbia Records.
- 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: DeVito Triple: [Don DeVito, familyName, DeVito]
Generated description
DeVito is an Italian-origin surname shared by various notable individuals in entertainment and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DeVito Target entity description: DeVito is an Italian-origin surname shared by various notable individuals in entertainment and other fields.
-
A.
Basil DeVito
Basil DeVito is a sports executive best known for helping launch and lead the original XFL football league as its first commissioner.
-
B.
Joe DeVito
Joe DeVito is an American artist and writer best known for expanding the King Kong universe through his illustrated novel and related works.
-
C.
Hank DeVito
Hank DeVito is an American country musician and renowned pedal steel guitarist best known for his work with Emmylou Harris and other prominent artists in the 1970s and 1980s.
-
D.
Jake DeVito
Jake DeVito is an American film and television producer and occasional actor, known for his behind-the-scenes work on various independent and documentary projects.
-
E.
Don DeVito
Don DeVito was an American record producer and music industry executive best known for his work with Bob Dylan at Columbia Records.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1972a881908072990de0715547 |
completed | April 19, 2026, 1:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d9b6d248190964ffe6cfb19b2d8 |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a036a7c0d9881909750358cfd270cf5 |
completed | May 12, 2026, 5:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a036af992b48190854e40c1e8acdb0b |
completed | May 12, 2026, 6:01 p.m. |
Created at: April 10, 2026, 10:27 a.m.