Triple
T5878416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvin Calvin |
E130682
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Melvin |
E64883
|
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: [Melvin Calvin, givenName, Melvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melvin Context triple: [Melvin Calvin, givenName, Melvin]
-
A.
Melvin
chosen
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
-
B.
Mervin
Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
-
C.
Wilbert
Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
-
D.
Marvin
Marvin is the given first name of Pro Football Hall of Fame coach Marv Levy, known for leading the Buffalo Bills to four consecutive Super Bowl appearances.
-
E.
Marvin
Marvin is a given name most famously associated with Marvin Minsky, a pioneering cognitive scientist and co-founder of the field of artificial intelligence.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036327efc8190858e9364cd5d317b |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12d9e348190b4baf171ce448d5b |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.