Triple
T13498897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arliss Coates |
E320832
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Coates |
E117051
|
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: Coates | Statement: [Arliss Coates, familyName, Coates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coates Context triple: [Arliss Coates, familyName, Coates]
-
A.
Coates
chosen
Coates is a surname most prominently associated with Ta-Nehisi Coates, the American author and journalist known for his writings on African American culture and politics.
-
B.
Coates
Coates is a small settlement that forms part of the civil parish of Whittlesey in Cambridgeshire, England.
-
C.
Mr. Coates
Mr. Coates is the father of Travis Coates in the classic American children's novel "Old Yeller."
-
D.
Covey
Covey is the surname of Stephen R. Covey, the influential American educator, author, and leadership expert best known for writing "The 7 Habits of Highly Effective People."
-
E.
Ibram
Ibram is the given name of Ibram X. Kendi, a prominent American historian and leading scholar of antiracism.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d8e69a08190b74f1fecb07dd6e9 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.