Triple
T12283737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Reiche |
E292776
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Reiche |
E292776
|
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: Reiche | Statement: [Maria Reiche, familyName, Reiche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reiche Context triple: [Maria Reiche, familyName, Reiche]
-
A.
Reiche
chosen
Reiche is a German surname most notably associated with Maria Reiche, the mathematician and archaeologist famed for her work on the Nazca Lines in Peru.
-
B.
Riche
Riche is a variant spelling of the given name and surname Ritchie, used in various English-speaking contexts.
-
C.
Reicher
Reicher is a surname most notably associated with German-American actor and director Frank Reicher, known for his work in early 20th-century theater and film.
-
D.
Bogatynia
Bogatynia is a town in southwestern Poland near the Czech and German borders, known for its lignite mining and power industry.
-
E.
Rich
"Rich" is a country-pop song by American singer-songwriter Maren Morris, known for its witty lyrics and playful, swaggering take on love and money.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d1ede3081908647595739c3e996 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e70dec8819098199fbb54d888c1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.