Triple
T32056642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Pollan |
E818634
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
This Is Your Mind on Plants
"This Is Your Mind on Plants" is a nonfiction book by Michael Pollan that explores the cultural, historical, and scientific relationships between humans and psychoactive plants.
|
E1989899
|
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: This Is Your Mind on Plants | Statement: [Michael Pollan, notableWork, This Is Your Mind on Plants]
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: This Is Your Mind on Plants Triple: [Michael Pollan, notableWork, This Is Your Mind on Plants]
Generated description
"This Is Your Mind on Plants" is a nonfiction book by Michael Pollan that explores the cultural, historical, and scientific relationships between humans and psychoactive plants.
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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4f0a9dc81908245f7583767a26f |
completed | May 3, 2026, 2:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2ed505ecf48190bfc21241ef000636 |
completed | June 14, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_6a2ed5feab3481909fda36f8ced29749 |
completed | June 14, 2026, 4:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2ed800b70c8190a2776741e12710b9 |
completed | June 14, 2026, 4:34 p.m. |
Created at: May 1, 2026, 12:21 a.m.