Triple
T10609869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raphael Mechoulam |
E275977
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Lumír Hanuš
Lumír Hanuš is a Czech analytical chemist and cannabis researcher best known for co-discovering the endocannabinoid anandamide.
|
E876000
|
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: Lumír Hanuš | Statement: [Raphael Mechoulam, notableStudent, Lumír Hanuš]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumír Hanuš Context triple: [Raphael Mechoulam, notableStudent, Lumír Hanuš]
-
A.
Jaromír Hanzlík
Jaromír Hanzlík is a Czech film and television actor best known for his roles in popular Czechoslovak movies and TV series from the 1960s onward.
-
B.
Jan Novák
Jan Novák was a Czech composer known for his neoclassical style and film scores, including the music for the film "Atentát."
-
C.
Jan Mareš
Jan Mareš is a Czech academic who serves as the rector of Mendel University in Brno.
-
D.
Aleš Hemský
Aleš Hemský is a Czech former professional ice hockey right winger best known for his long NHL career with the Edmonton Oilers and his playmaking skill.
-
E.
Ludvík Vaculík
Ludvík Vaculík was a Czech writer, dissident, and influential critic of the communist regime, known for his samizdat essays and role in the Prague Spring and human rights movements.
- 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: Lumír Hanuš Triple: [Raphael Mechoulam, notableStudent, Lumír Hanuš]
Generated description
Lumír Hanuš is a Czech analytical chemist and cannabis researcher best known for co-discovering the endocannabinoid anandamide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lumír Hanuš Target entity description: Lumír Hanuš is a Czech analytical chemist and cannabis researcher best known for co-discovering the endocannabinoid anandamide.
-
A.
Jaromír Hanzlík
Jaromír Hanzlík is a Czech film and television actor best known for his roles in popular Czechoslovak movies and TV series from the 1960s onward.
-
B.
Jan Novák
Jan Novák was a Czech composer known for his neoclassical style and film scores, including the music for the film "Atentát."
-
C.
Jan Mareš
Jan Mareš is a Czech academic who serves as the rector of Mendel University in Brno.
-
D.
Aleš Hemský
Aleš Hemský is a Czech former professional ice hockey right winger best known for his long NHL career with the Edmonton Oilers and his playmaking skill.
-
E.
Ludvík Vaculík
Ludvík Vaculík was a Czech writer, dissident, and influential critic of the communist regime, known for his samizdat essays and role in the Prague Spring and human rights movements.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df59468881909b0c67d3f08c4b76 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b716a088190b84982f1a8173e0a |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96dee84f48190bf5b0cb1115a8bba |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9708824208190acf75933962d690f |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 8, 2026, 7:32 p.m.