Triple
T438774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Blanc |
E10068
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Melvin
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
|
E64883
|
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: Melvin | Statement: [Mel Blanc, givenName, Melvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melvin Context triple: [Mel Blanc, givenName, Melvin]
-
A.
Herman
Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
-
B.
Herman
Herman is the given name of Belgian politician Herman De Croo, a long-serving liberal statesman and former President of the Belgian Chamber of Representatives.
-
C.
Willy
Willy is a common diminutive form of the given name William, often used as an informal or affectionate nickname.
-
D.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
E.
Gerald
Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
- 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: Melvin Triple: [Mel Blanc, givenName, Melvin]
Generated description
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melvin Target entity description: Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
-
A.
Herman
Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
-
B.
Herman
Herman is the given name of Belgian politician Herman De Croo, a long-serving liberal statesman and former President of the Belgian Chamber of Representatives.
-
C.
Willy
Willy is a common diminutive form of the given name William, often used as an informal or affectionate nickname.
-
D.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
E.
Gerald
Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
- 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_69a4a6f8e09481909fe1b329061d1a71 |
completed | March 1, 2026, 8:52 p.m. |
| NEDg | Description generation | batch_69a4a7fd14188190b231731e6bb896f6 |
completed | March 1, 2026, 8:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4a856aaec8190b698ce998626f10f |
completed | March 1, 2026, 8:57 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.