Triple
T23036634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varian Fry |
E573614
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Fry | Statement: [Varian Fry, familyName, Fry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fry Context triple: [Varian Fry, familyName, Fry]
-
A.
Fry
chosen
Fry is a common English surname borne by various notable figures in fields such as art, literature, and entertainment.
-
B.
Fryer
Fryer is the middle name of William Fryer Harvey, an English writer best known for his classic horror and ghost stories.
-
C.
Fry Kids
The Fry Kids are colorful, fuzzy puppet-like characters from McDonaldland known for their love of French fries and appearances in McDonald's advertising campaigns.
-
D.
Friz
Friz was the nickname of Friz Freleng, the influential American animator, cartoon director, and producer best known for his work on Looney Tunes and Merrie Melodies.
-
E.
Frikat
Frikat is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
- 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.