Triple
T21815966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Oates |
E538606
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Oates |
—
|
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: Oates | Statement: [John Oates, familyName, Oates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oates Context triple: [John 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.
O'Hara
O'Hara is the surname of Scarlett O'Hara, the headstrong Southern heroine of Margaret Mitchell's novel "Gone with the Wind."
-
C.
Dorris
Dorris is a feminine given name most notably borne by American actress Dorris Bowdon, known for her roles in classic 1930s and 1940s films.
-
D.
O'Nan
O'Nan is a surname most notably associated with American novelist Stewart O'Nan.
-
E.
McClurg
McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07ccac9f08190b835ee7a40ecf4c2 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:54 p.m.