Triple
T7298866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slowhand |
E167789
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Cocaine |
E167778
|
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: Cocaine | Statement: [Slowhand, notableSong, Cocaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cocaine Context triple: [Slowhand, notableSong, Cocaine]
-
A.
Cocaine
chosen
Cocaine is a powerful and addictive stimulant drug derived from the coca plant, known for its euphoric effects and significant health and legal risks.
-
B.
Substiane
Substiane is a La Roche-Posay skincare line formulated to address loss of firmness, density, and comfort in mature or aging skin.
-
C.
Coca
Coca is a small city in Ecuador that serves as a key gateway to the Amazon rainforest and regional oil operations.
-
D.
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.
-
E.
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.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebad1b4481909e49ccc580007e4b |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eee71f5c8190aaff605eeff07390 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3 p.m.