Triple
T15987676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Quartermaine |
E387737
|
entity |
| Predicate | hasAddictionStoryline |
P110100
|
FINISHED |
| Object | prescription drug addiction |
—
|
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: prescription drug addiction | Statement: [Alan Quartermaine, hasAddictionStoryline, prescription drug addiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAddictionStoryline Context triple: [Alan Quartermaine, hasAddictionStoryline, prescription drug addiction]
-
A.
hasDrugAddictedProtagonist
Indicates that the work’s main character is portrayed as being addicted to drugs.
-
B.
hasAddictionOrIssue
chosen
Indicates that an entity experiences a dependency, compulsion, or problematic issue related to a substance, behavior, or condition.
-
C.
hasAddictiveSubstance
Indicates that an entity contains or involves a substance capable of causing addiction in those who use or consume it.
-
D.
isRecoveringAddict
Indicates that an individual is in the process of recovering from addiction, typically through ongoing treatment, support, or personal efforts to maintain sobriety.
-
E.
hasAddictionPotential
Indicates that one entity (typically a substance or activity) has the capacity to cause another entity (typically a person) to develop dependence or addictive behavior toward 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.