Triple
T23514311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erle Stanley Gardner |
E572513
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Erle |
—
|
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: Erle | Statement: [Erle Stanley Gardner, givenName, Erle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erle Context triple: [Erle Stanley Gardner, givenName, Erle]
-
A.
Erle
chosen
Erle is the given name of Erle Stanley Gardner, the American lawyer and prolific author best known for creating the fictional defense attorney Perry Mason.
-
B.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
-
C.
Engaru
Engaru is a town in Hokkaido, Japan, known as a regional hub in the Okhotsk area with access provided by the JR Sekihoku Main Line.
-
D.
Orvilos
Orvilos is a mountain massif on the border between Bulgaria and Greece, known for its rugged terrain and rich biodiversity.
-
E.
Harrelle
Harrelle is a less common variant of the English surname Harrell, typically of Anglo-Saxon origin.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80d9048190ab735dddd301feb4 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.