Triple
T18815980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacDonogh |
E460134
|
entity |
| Predicate | isVariantOf |
P455
|
FINISHED |
| Object | McDonough |
—
|
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: McDonough | Statement: [MacDonogh, isVariantOf, McDonough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McDonough Context triple: [MacDonogh, isVariantOf, McDonough]
-
A.
McDonough
chosen
McDonough is a surname most prominently associated with Denis McDonough, the American political figure who served as White House Chief of Staff under President Barack Obama.
-
B.
McDonogh
McDonogh is a subarea within the Algiers neighborhood of New Orleans, Louisiana, known primarily as a local residential community.
-
C.
McDonough, Georgia
McDonough, Georgia is a suburban city in Henry County serving as a commercial and residential hub on the southeastern outskirts of the Atlanta metropolitan area.
-
D.
Burkley
Burkley is a surname most notably associated with American character actor Dennis Burkley.
-
E.
Conley
Conley is a surname most prominently associated with NBA point guard Mike Conley Jr.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3e092e081908fc310c70f646e79 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.