Triple
T13353646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Blount |
E318131
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Melvin |
E670429
|
NE FINISHED |
How this triple was built (2 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 Blount, givenName, Melvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melvin Context triple: [Mel Blount, givenName, Melvin]
-
A.
Melvin
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
-
B.
Melvin
Melvin is the given first name of Mel Lastman, a prominent Canadian businessman and former longtime mayor of Toronto.
-
C.
Melvin
chosen
Melvin is a masculine given name of English origin commonly used in various English-speaking countries.
-
D.
Mervin
Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
-
E.
Melvin Sneedly
Melvin Sneedly is a brainy, rule-obsessed student and occasional antagonist from the "Captain Underpants" book series by Dav Pilkey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f49e5548190b14d09daea628e6b |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:32 p.m.