Triple
T15948516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvin Murphy |
E386751
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Calvin |
E832345
|
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: Calvin | Statement: [Calvin Murphy, givenName, Calvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calvin Context triple: [Calvin Murphy, givenName, Calvin]
-
A.
Calvin
Calvin is a surname most famously associated with Melvin Calvin, the American chemist and Nobel laureate known for elucidating the Calvin cycle in photosynthesis.
-
B.
Calvin
Calvin is the given name of Calvin Coolidge, the 30th president of the United States known for his quiet demeanor and pro-business policies during the 1920s.
-
C.
Calvin
Calvin is the central protagonist of the "Gully" story, around whom the main events and character dynamics revolve.
-
D.
Calvin
Calvin is a small rural municipality located within Ontario’s Nipissing District in Canada.
-
E.
Calvin
chosen
Calvin is the given name of Calvin Johnson, the former NFL wide receiver widely regarded as one of the greatest to ever play the position.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d3cc04819097367369a78d6ef2 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5c0c8a481908aa7a40bca15e38e |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.