Triple
T4681436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johanna Spyri |
E103810
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Spyri |
E89337
|
NE FINISHED |
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: Spyri | Statement: [Johanna Spyri, hasSurname, Spyri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spyri Context triple: [Johanna Spyri, hasSurname, Spyri]
-
A.
Spyri
chosen
Spyri is the surname of Johanna Spyri, the Swiss author best known for creating the classic children's book character Heidi.
-
B.
Spiro
Spiro is a masculine given name most notably borne by Spiro Agnew, the 39th vice president of the United States.
-
C.
Spiez
Spiez is a picturesque Swiss town in the Bernese Oberland, known for its lakeside setting, historic castle, and views of the surrounding Alps.
-
D.
Psiri
Psiri is a lively historic neighborhood in central Athens known for its vibrant nightlife, traditional tavernas, and artistic atmosphere.
-
E.
Dora Riparia
Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd636d306081908ff512896f54cb10 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1056abf081908aadaea8d9f22860 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:16 p.m.