Triple
T21481432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Charles |
E530001
|
entity |
| Predicate | hasAlcoholUse |
P23784
|
FINISHED |
| Object | frequent cocktail drinking |
—
|
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: frequent cocktail drinking | Statement: [Nick Charles, hasAlcoholUse, frequent cocktail drinking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlcoholUse Context triple: [Nick Charles, hasAlcoholUse, frequent cocktail drinking]
-
A.
drinksAlcohol
Indicates that an entity consumes alcoholic beverages.
-
B.
hasAddictionOrIssue
Indicates that an entity experiences a dependency, compulsion, or problematic issue related to a substance, behavior, or condition.
-
C.
drinkingHabit
chosen
Indicates an entity’s typical pattern or frequency of consuming alcoholic or other beverages.
-
D.
alcohol
Indicates that one entity is an alcoholic beverage or contains alcohol in relation to another entity.
-
E.
hasAddictiveSubstance
Indicates that an entity contains or involves a substance capable of causing addiction in those who use or consume it.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea338f988190a3044f8d02a567fe |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:21 p.m.