Triple
T22546385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mort |
E557439
|
entity |
| Predicate | derivesFrom |
P909
|
FINISHED |
| Object | Morton |
—
|
NE NERFINISHED |
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: Morton | Statement: [Mort, derivesFrom, Morton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morton Context triple: [Mort, derivesFrom, Morton]
-
A.
Morton
Morton is a village and civil parish located within the historic district of Kesteven in Lincolnshire, England.
-
B.
Morton
Morton is the authority who formally described the pygmy hippopotamus species Choeropsis liberiensis in the scientific literature.
-
C.
Morton
Morton is a small rural community located within the Township of Rideau Lakes in eastern Ontario, Canada, known for its scenic lakes and historic charm.
-
D.
Morton
Morton is the given first name of Mort Sahl, the influential Canadian-American stand-up comedian known for his pioneering political satire.
-
E.
Morton
chosen
Morton is a common English surname of Norman origin, borne by numerous notable individuals across politics, sports, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f35b9888190b4e1b50d5097b211 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.