Triple
T31103703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mentats |
E792739
|
entity |
| Predicate | effectOfSaphoJuice |
P24603
|
FINISHED |
| Object | enhanced mental performance |
—
|
LITERAL 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: enhanced mental performance | Statement: [Mentats, effectOfSaphoJuice, enhanced mental performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOfSaphoJuice Context triple: [Mentats, effectOfSaphoJuice, enhanced mental performance]
-
A.
effectOfSerrata
Indicates the effect or consequence produced by a serrata (a formal restriction, closure, or tightening of rules or access).
-
B.
hasToxicSap
Indicates that an entity produces or contains sap that is harmful or poisonous to other organisms.
-
C.
foodEffect
chosen
Indicates how consuming a particular food influences or changes another entity, such as an organism, condition, or process.
-
D.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
E.
isHerbalInfusion
Indicates that something is a beverage made by steeping herbs or plant materials in liquid, typically water.
- F. None of above.
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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 29, 2026, 9:03 p.m.