Triple
T19853954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan |
E477080
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Stef |
—
|
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: Stef | Statement: [Stefan, hasDiminutive, Stef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stef Context triple: [Stefan, hasDiminutive, Stef]
-
A.
Stef
chosen
Stef is a supporting member of the misfit kids’ group in the 1985 adventure film "The Goonies," known for her sarcastic wit and loyal friendship.
-
B.
Steffl
Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
-
C.
Steffen
Steffen is a surname most notably associated with Will Steffen, an influential climate scientist and researcher on Earth system dynamics and global environmental change.
-
D.
Steffie
Steffie is a fictional character in Don DeLillo’s novel "White Noise," known as one of the children in the Gladney family.
-
E.
Stever
Stever is a surname most notably associated with H. Guyford Stever, an influential American engineer, educator, and science administrator.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586aa1dc8190b6cfe051a57e338b |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.