Triple
T14337018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Columbus Langdell |
E355490
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Langdell |
E355490
|
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: Langdell | Statement: [Christopher Columbus Langdell, familyName, Langdell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langdell Context triple: [Christopher Columbus Langdell, familyName, Langdell]
-
A.
Langdell
chosen
Langdell is a surname most notably associated with Christopher Columbus Langdell, the influential 19th-century dean of Harvard Law School who pioneered the case method of legal education.
-
B.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
C.
Greenlaw
Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
-
D.
Calderbank
Calderbank is a small village in North Lanarkshire, Scotland, historically associated with coal mining and ironworks.
-
E.
Martindale
Martindale is a remote, scenic valley in the Lake District of Cumbria, England, known for its rugged fells, red deer herd, and tranquil walking routes.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46986758819088750150ad47bae1 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.