Triple
T19795373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Piper |
E475526
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sophie |
—
|
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: Sophie | Statement: [Sophie Piper, givenName, Sophie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Context triple: [Sophie Piper, givenName, Sophie]
-
A.
Sophie
Sophie is a character in Kazuo Ishiguro’s surreal novel "The Unconsoled," involved in the emotionally fraught relationships surrounding the pianist protagonist, Ryder.
-
B.
Sophie
chosen
Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
-
C.
Sophie
Sophie is an experimental pop producer and musician known for her innovative, hyper-stylized electronic sound and influential work in the PC Music scene.
-
D.
Sophia
Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
-
E.
Sophia
"Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c659088190928fa4c9264135d3 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.