Triple
T13022202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garrett Morris |
E326203
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Garrett Morris |
E326203
|
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: Garrett Morris | Statement: [Garrett Morris, name, Garrett Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garrett Morris Context triple: [Garrett Morris, name, Garrett Morris]
-
A.
Garrett Morris
chosen
Garrett Morris is an American comedian and actor best known as an original cast member of Saturday Night Live and for his numerous roles in film and television.
-
B.
Garrett Snyder
Garrett Snyder is a food writer and journalist known for co-authoring "The Pepper Thai Cookbook" with Pepper Teigen.
-
C.
Garrett Gruener
Garrett Gruener is an American entrepreneur and venture capitalist best known as a co-founder of the early internet search engine Ask Jeeves.
-
D.
Garrett Fagan
Garrett Fagan was a historian and professor of ancient history, best known for his work on Roman history, public spectacles, and the critical examination of pseudoarchaeology.
-
E.
Garrett Walker
Garrett Walker is the fictional President of the United States in the political drama series "House of Cards," whose administration becomes entangled in the ruthless schemes of Frank Underwood.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a20a5ec8190bc054b3d7cae003b |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 8:52 p.m.