Triple
T22232356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Radford |
E549497
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Radford |
—
|
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: Radford | Statement: [Michael Radford, familyName, Radford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radford Context triple: [Michael Radford, familyName, Radford]
-
A.
Radford
chosen
Radford is a masculine given name of English origin that has been used both as a first name and surname.
-
B.
Radford, Virginia
Radford, Virginia is an independent city in southwestern Virginia known for being home to Radford University and its location along the New River.
-
C.
Lawford
Lawford is a village in Essex, England, situated within the scenic Dedham Vale Area of Outstanding Natural Beauty.
-
D.
Lawford
Lawford is an English-origin surname most notably associated with actor Peter Lawford and, by marriage, the Kennedy political family.
-
E.
Montclar
Montclar is a small municipality in the Berguedà comarca of Catalonia, Spain, known for its rural landscape and traditional Catalan character.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf3de648190986a734f19643a8c |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.