Triple
T3724970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joyce Carol Oates |
E81726
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Oates |
E141048
|
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: Oates | Statement: [Joyce Carol Oates, familyName, Oates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oates Context triple: [Joyce Carol Oates, familyName, Oates]
-
A.
Oates
chosen
Oates is a surname most notably associated with American character actor Warren Oates, known for his roles in 1960s and 1970s film and television.
-
B.
Vickery Oates
Vickery Oates is best known as the wife of American character actor Warren Oates.
-
C.
O'Hara
O'Hara is the surname of Scarlett O'Hara, the headstrong Southern heroine of Margaret Mitchell's novel "Gone with the Wind."
-
D.
McClurg
McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
-
E.
Carver
Carver is a small town in southeastern Massachusetts known for its cranberry bogs and rural character.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf54af881908bd8d520595de061 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce1e303881909efc1c6735d6c12e |
completed | March 14, 2026, 2:55 a.m. |
Created at: March 8, 2026, 3:34 p.m.