Triple
T5186815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ta-Nehisi Coates |
E117051
|
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: [Ta-Nehisi Coates, familyName, Coates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coates Context triple: [Ta-Nehisi 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.
Ibram
Ibram is the given name of Ibram X. Kendi, a prominent American historian and leading scholar of antiracism.
-
D.
Callahan
Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
-
E.
Oates
Oates is a surname most notably associated with American character actor Warren Oates, known for his roles in 1960s and 1970s film and television.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c3e9e08190848be4208b72f310 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee08807748190ae8f34a6e8875c15 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:46 p.m.