Triple
T438775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Blanc |
E10068
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
|
E55361
|
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: Blanc | Statement: [Mel Blanc, familyName, Blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanc Context triple: [Mel Blanc, familyName, Blanc]
-
A.
Case White
Case White was the German codename for the 1939 invasion of Poland that marked the beginning of World War II in Europe.
-
B.
Weisser Clevner
Weisser Clevner is a white wine grape variety better known internationally as Chardonnay, one of the world’s most widely planted and versatile wine grapes.
-
C.
Luce
Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
-
D.
Gouais Blanc
Gouais Blanc is an ancient white wine grape variety historically important as a parent of many classic European grapes, including Chardonnay.
-
E.
Tiffany Blue
Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
- 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: Blanc Triple: [Mel Blanc, familyName, Blanc]
Generated description
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blanc Target entity description: Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
-
A.
Case White
Case White was the German codename for the 1939 invasion of Poland that marked the beginning of World War II in Europe.
-
B.
Weisser Clevner
Weisser Clevner is a white wine grape variety better known internationally as Chardonnay, one of the world’s most widely planted and versatile wine grapes.
-
C.
Luce
Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
-
D.
Gouais Blanc
Gouais Blanc is an ancient white wine grape variety historically important as a parent of many classic European grapes, including Chardonnay.
-
E.
Tiffany Blue
Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef283be881909444aaf257451747 |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4366eb0588190beb5c43828f8ca45 |
completed | March 1, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_69a436c6f1a0819086f8d8f12bc82e87 |
completed | March 1, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4379eee248190a417b81afbb403ae |
completed | March 1, 2026, 12:57 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.