Triple
T10544548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don DeFore |
E248780
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
DeFore
DeFore is a surname most notably associated with American film and television actor Don DeFore, known for his roles in mid-20th-century sitcoms.
|
E871448
|
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: DeFore | Statement: [Don DeFore, familyName, DeFore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeFore Context triple: [Don DeFore, familyName, DeFore]
-
A.
Forez
Forez is a historic region in central France, corresponding largely to the plains and hills around Montbrison in today’s Loire department.
-
B.
de Forest
de Forest is a surname most notably associated with Lee de Forest, an American inventor and early pioneer of radio and electronic communication.
-
C.
DeForest
DeForest is a village in south-central Wisconsin, United States, known as a growing suburban community near the city of Madison.
-
D.
Defari
Defari is an American underground hip hop artist and member of the Likwit Crew, known for his thoughtful lyricism and work with West Coast producers like Evidence and DJ Babu.
-
E.
Drieborg
Drieborg is a small village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
- 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: DeFore Triple: [Don DeFore, familyName, DeFore]
Generated description
DeFore is a surname most notably associated with American film and television actor Don DeFore, known for his roles in mid-20th-century sitcoms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DeFore Target entity description: DeFore is a surname most notably associated with American film and television actor Don DeFore, known for his roles in mid-20th-century sitcoms.
-
A.
Forez
Forez is a historic region in central France, corresponding largely to the plains and hills around Montbrison in today’s Loire department.
-
B.
de Forest
de Forest is a surname most notably associated with Lee de Forest, an American inventor and early pioneer of radio and electronic communication.
-
C.
DeForest
DeForest is a village in south-central Wisconsin, United States, known as a growing suburban community near the city of Madison.
-
D.
Defari
Defari is an American underground hip hop artist and member of the Likwit Crew, known for his thoughtful lyricism and work with West Coast producers like Evidence and DJ Babu.
-
E.
Drieborg
Drieborg is a small village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d519128cac819086c93f3bab854ac2 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9343c5c308190952596e5254b6a65 |
completed | April 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69d938c697f481908a93296ee7f82eae |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d940176c988190b7583ce9f2c21898 |
completed | April 10, 2026, 6:23 p.m. |
Created at: April 6, 2026, 12:32 p.m.