Triple
T15408852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Market |
E368530
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Black Opium |
E170788
|
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: Black Opium | Statement: [Black Market, hasPart, Black Opium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Opium Context triple: [Black Market, hasPart, Black Opium]
-
A.
Black Opium
chosen
Black Opium is a popular Yves Saint Laurent fragrance known for its modern, addictive blend of coffee, vanilla, and white florals.
-
B.
Dopium
Dopium is the debut solo studio album by Wu-Tang Clan member U-God, showcasing his gritty lyrical style over dark, hard-hitting production.
-
C.
Black Opium Intense
Black Opium Intense is a richer, deeper reinterpretation of Yves Saint Laurent’s original Black Opium fragrance, emphasizing amplified coffee, vanilla, and white floral notes for a more powerful, long-lasting scent.
-
D.
The Addict
"The Addict" is a confessional poem by Anne Sexton that starkly explores dependency, self-destruction, and psychological turmoil.
-
E.
Chasing the Dragon
Chasing the Dragon is a 2017 Hong Kong crime drama film in which Donnie Yen portrays a notorious drug lord in 1960s–70s Hong Kong.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.