Triple
T10194816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Stamets |
E238134
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paul Stamets |
E238134
|
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: Paul Stamets | Statement: [Paul Stamets, name, Paul Stamets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Stamets Context triple: [Paul Stamets, name, Paul Stamets]
-
A.
Paul Stamets
chosen
Paul Stamets is an American mycologist, author, and advocate for the study and use of fungi in medicine, ecology, and environmental restoration.
-
B.
Dennis McKenna
Dennis McKenna is an American ethnopharmacologist, author, and researcher known for his work on psychoactive plants and his collaborations with his brother Terence McKenna in the study of psychedelics.
-
C.
Michael T. Sauer
Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
-
D.
Paul Grilley
Paul Grilley is a yoga teacher best known for popularizing Yin Yoga and for his influential work on anatomy and skeletal variation in yoga practice.
-
E.
Robert Krasny
Robert Krasny is an American applied mathematician known for his work in fluid dynamics and vortex methods.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc7cc748190bceb8f657afcc054 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317dbfb7c819087aafc7161b14707 |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:13 p.m.