Triple
T17830834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arvella Schuller |
E445248
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schuller |
—
|
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: Schuller | Statement: [Arvella Schuller, familyName, Schuller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schuller Context triple: [Arvella Schuller, familyName, Schuller]
-
A.
Schuller
chosen
Schuller is a surname most prominently associated with American televangelist and pastor Robert H. Schuller, founder of the Crystal Cathedral and the "Hour of Power" television program.
-
B.
Schull
Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
-
C.
Schulberg
Schulberg is a surname most notably associated with a family of American film producers and writers active in Hollywood during the early to mid-20th century.
-
D.
Shulman
Shulman is a surname of Jewish origin borne by various notable individuals in fields such as literature, academia, and the arts.
-
E.
Gabler
Gabler is a surname most notably associated with Milt Gabler, an influential American record producer and songwriter in jazz and popular music.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48917c4d88190b919a4b75aed011c |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.