Triple
T30390382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Tuck |
E773064
|
entity |
| Predicate | stoppedAgingAfterDrinking |
P169149
|
FINISHED |
| Object | magic spring water |
—
|
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: magic spring water | Statement: [Jesse Tuck, stoppedAgingAfterDrinking, magic spring water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stoppedAgingAfterDrinking Context triple: [Jesse Tuck, stoppedAgingAfterDrinking, magic spring water]
-
A.
diesAfterDrinking
Indicates that an entity dies as a consequence of having previously consumed a drink.
-
B.
soberSince
Indicates the point in time from which an entity has remained continuously sober (free from alcohol or substance use).
-
C.
drinksAlcohol
Indicates that an entity consumes alcoholic beverages.
-
D.
drinkingHabit
Indicates an entity’s typical pattern or frequency of consuming alcoholic or other beverages.
-
E.
alcohol
Indicates that one entity is an alcoholic beverage or contains alcohol in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69f2248ef0a48190aa54d4d8ac3e5758 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6859bbd7c81909084682a99f2b9be |
completed | May 2, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 8:02 p.m.