Triple
T15045433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disclosure |
E379213
|
entity |
| Predicate | EP |
P15272
|
FINISHED |
| Object | Ecstasy |
E1061362
|
NE 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: Ecstasy | Statement: [Disclosure, EP, Ecstasy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ecstasy Context triple: [Disclosure, EP, Ecstasy]
-
A.
Ecstasy
Ecstasy is a 1933 Czech romantic drama film famous for its controversial nude scenes and for helping launch the international career of actress Hedy Lamarr.
-
B.
Ecstasy
"Ecstasy" is a raw, intense track by PJ Harvey from her critically acclaimed 1993 album *Rid of Me*, showcasing her visceral vocal style and abrasive alternative rock sound.
-
C.
MDMA
chosen
MDMA, commonly known as ecstasy or molly, is a synthetic psychoactive drug that produces stimulant and hallucinogenic effects, often associated with heightened empathy, energy, and sensory perception.
-
D.
Extacy
"Extacy" is a popular early 1990s UK rave and breakbeat hardcore track by Shades of Rhythm, known for its euphoric synths and club anthem status.
-
E.
Cocaine
Cocaine is a powerful and addictive stimulant drug derived from the coca plant, known for its euphoric effects and significant health and legal risks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.