Triple
T16499082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Summer of Love |
E400755
|
entity |
| Predicate | hasAssociatedDrug |
P69332
|
FINISHED |
| Object | MDMA |
—
|
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: MDMA | Statement: [Second Summer of Love, hasAssociatedDrug, MDMA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedDrug Context triple: [Second Summer of Love, hasAssociatedDrug, MDMA]
-
A.
hasDrug
chosen
Indicates that an entity possesses, is treated with, or is associated with a particular drug.
-
B.
usesDrug
Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
-
C.
relatedDrug
Indicates that one drug has a specified relationship or association with another drug, such as interaction, similarity, or therapeutic linkage.
-
D.
hasNotableDrug
Indicates that an entity is associated with a drug that is considered notable or significant in some recognized context.
-
E.
evaluatedDrug
Indicates that a particular drug has been assessed or tested, typically in the context of a study, experiment, or evaluation process.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e35b96881908c9d339eea9e4314 |
completed | April 18, 2026, 7:09 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.