Triple
T21762562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McKinley Morganfield |
E537198
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | McKinley |
E537198
|
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: McKinley | Statement: [McKinley Morganfield, givenName, McKinley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McKinley Context triple: [McKinley Morganfield, givenName, McKinley]
-
A.
McKinley
McKinley is the codename for Intel’s second-generation Itanium processor, which introduced significant architectural and performance improvements over the original Itanium.
-
B.
McKinley
chosen
McKinley is the given first name of legendary American blues musician Muddy Waters, a key figure in the development of Chicago blues.
-
C.
McKinley
McKinley is the surname of Ida Saxton McKinley, who was the First Lady of the United States as the wife of President William McKinley.
-
D.
Fort William McKinley
Fort William McKinley was a major U.S. Army military installation in the Philippines that served as a key base for American forces during the early 20th century.
-
E.
Rutherford Platt Hayes
Rutherford Platt Hayes was an American librarian and educator, and the son of U.S. President Rutherford B. Hayes.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a711dc8190a786c9849dc344e8 |
completed | April 28, 2026, 4:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3675ffe0819092be3df2b4440ee5 |
completed | May 17, 2026, 9:43 p.m. |
Created at: April 16, 2026, 6:51 p.m.