Triple
T13079677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSD |
E310169
|
entity |
| Predicate | wasFirstSynthesizedBy |
P94250
|
FINISHED |
| Object |
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.
|
E1020534
|
NE FINISHED |
How this triple was built (4 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: Albert Hofmann | Statement: [LSD, wasFirstSynthesizedBy, Albert Hofmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Hofmann Context triple: [LSD, wasFirstSynthesizedBy, Albert Hofmann]
-
A.
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.
-
B.
Carl Djerassi
Carl Djerassi was an Austrian-American chemist best known for his pioneering role in the development of the first oral contraceptive pill.
-
C.
Walter Ehrlich
Walter Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
-
D.
Hugo Ehrlich
Hugo Ehrlich was a Croatian architect known for his significant contributions to early 20th-century architecture in Zagreb.
-
E.
Raphael Mechoulam
Raphael Mechoulam was an Israeli organic chemist renowned as a pioneer of cannabis research, particularly for elucidating the chemistry and pharmacology of cannabinoids.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Albert Hofmann Triple: [LSD, wasFirstSynthesizedBy, Albert Hofmann]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albert Hofmann Target entity description: 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.
-
A.
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.
-
B.
Carl Djerassi
Carl Djerassi was an Austrian-American chemist best known for his pioneering role in the development of the first oral contraceptive pill.
-
C.
Walter Ehrlich
Walter Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
-
D.
Hugo Ehrlich
Hugo Ehrlich was a Croatian architect known for his significant contributions to early 20th-century architecture in Zagreb.
-
E.
Raphael Mechoulam
Raphael Mechoulam was an Israeli organic chemist renowned as a pioneer of cannabis research, particularly for elucidating the chemistry and pharmacology of cannabinoids.
- F. None of above. chosen
Provenance (5 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98119cb7081908b78ffe83ec99851 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60c603881909dff49f4356042b5 |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d86562f88190afd1fe49c4632e09 |
completed | May 3, 2026, 5:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d9486d748190bc5e2927bc36993e |
completed | May 3, 2026, 5:12 a.m. |
Created at: April 9, 2026, 9:01 p.m.