Triple
T23036681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Fry |
E573615
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Frank Fry |
—
|
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: Frank Fry | Statement: [Frank Fry, name, Frank Fry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Fry Context triple: [Frank Fry, name, Frank Fry]
-
A.
Frank Fry
chosen
Frank Fry is an individual notable enough to be recognized as a significant bearer of the surname Fry, though specific widely known biographical details are not clearly established.
-
B.
William Froug
William Froug was an American television producer, writer, and educator best known for his work on classic series such as The Twilight Zone.
-
C.
James Fagan
James Fagan is a name shared by several notable individuals, including politicians and artists, whose specific identity depends on the historical or professional context.
-
D.
Mick Ferry
Mick Ferry is a British stand-up comedian and actor known for his work on the UK comedy circuit and appearances on television panel and sketch shows.
-
E.
William Fagan
William Fagan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Fagan.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1850fe5348190b42259595d82cff4 |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:53 p.m.