Triple
T7120090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathaniel Wallich |
E165926
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nathaniel Wallich |
E165926
|
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: Nathaniel Wallich | Statement: [Nathaniel Wallich, name, Nathaniel Wallich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathaniel Wallich Context triple: [Nathaniel Wallich, name, Nathaniel Wallich]
-
A.
Nathaniel Wallich
chosen
Nathaniel Wallich was a Danish surgeon and pioneering botanist who made major contributions to the study of Indian flora in the 19th century.
-
B.
Ferdinand von Mueller
Ferdinand von Mueller was a prominent 19th-century German-Australian botanist and explorer who made major contributions to the study and classification of Australian flora.
-
C.
John Lindley
John Lindley was a 19th-century English botanist renowned for his influential work in plant taxonomy and classification.
-
D.
John Lindley
John Lindley is an American cinematographer known for his work on popular films and television series, including the romantic comedy "You've Got Mail."
-
E.
Thomas Nuttall
Thomas Nuttall was a 19th-century English-born American botanist and zoologist known for his extensive exploration and classification of North American flora and fauna.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e61ca6a88190a0eb9f287e3b723c |
completed | March 27, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a32870e481909472f8fcd2501289 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:43 p.m.