Triple
T17429870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remsen Award |
E423839
|
entity |
| Predicate | hasRecipient |
P108
|
FINISHED |
| Object | Carl Djerassi |
—
|
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: Carl Djerassi | Statement: [Remsen Award, hasRecipient, Carl Djerassi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Djerassi Context triple: [Remsen Award, hasRecipient, Carl Djerassi]
-
A.
Carl Djerassi
chosen
Carl Djerassi was an Austrian-American chemist best known for his pioneering role in the development of the first oral contraceptive pill.
-
B.
Walter Ehrlich
Walter Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
-
C.
Tadeus Reichstein
Tadeus Reichstein was a Polish-Swiss chemist and Nobel laureate renowned for his work on the synthesis of vitamin C and adrenal cortex hormones.
-
D.
Hugo Ehrlich
Hugo Ehrlich was a Croatian architect known for his significant contributions to early 20th-century architecture in Zagreb.
-
E.
Albert Hofmann
Albert Hofmann was a Swiss chemist best known for discovering the psychedelic properties of LSD and pioneering research into its effects on the human mind.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448ffb9c8819099fabfeebdc06883 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.