Triple
T12778409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Gorton |
E305437
|
entity |
| Predicate | drinkingBehavior |
P23784
|
FINISHED |
| Object | heavy drinker |
—
|
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: heavy drinker | Statement: [Bill Gorton, drinkingBehavior, heavy drinker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drinkingBehavior Context triple: [Bill Gorton, drinkingBehavior, heavy drinker]
-
A.
drinkingHabit
chosen
Indicates an entity’s typical pattern or frequency of consuming alcoholic or other beverages.
-
B.
drinksAlcohol
Indicates that an entity consumes alcoholic beverages.
-
C.
drunkBy
Indicates that a substance or beverage is consumed by a particular entity.
-
D.
drunkWith
Indicates that one entity is intoxicated as a result of consuming a particular alcoholic beverage or substance associated with another entity.
-
E.
effectOnDrinkers
Indicates the impact or consequences that something has on individuals who consume alcoholic beverages.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e595e008190b42dff3012d17d66 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:29 p.m.