Triple
T22271765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Morrison |
E550495
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Morrison |
—
|
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: Morrison | Statement: [Adam Morrison, familyName, Morrison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morrison Context triple: [Adam Morrison, familyName, Morrison]
-
A.
Morrison
chosen
Morrison is a common English and Scottish surname borne by numerous notable figures in politics, sports, arts, and public life.
-
B.
Morrison
Morrison is a small city in northwestern Illinois that serves as the administrative and commercial hub of Whiteside County.
-
C.
Jesmyn
Jesmyn is a feminine given name most notably borne by the acclaimed American novelist Jesmyn Ward.
-
D.
Gyasi
Gyasi is a masculine given name most notably borne by American professional soccer player Gyasi Zardes.
-
E.
Virginia Morrison
Virginia Morrison was the wife of American politician and Colorado governor John F. Shafroth, known primarily for her role as his spouse and partner in public life.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141c056cc819088dae6f2b9a1d526 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:40 p.m.