Triple
T5135142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nature |
E115800
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pain Killer |
E304103
|
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: Pain Killer | Statement: [Nature, notableWork, Pain Killer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pain Killer Context triple: [Nature, notableWork, Pain Killer]
-
A.
Pain Killer
chosen
"Pain Killer" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its catchy melody and collaboration with Nigerian artist Runtown.
-
B.
Painkiller
Painkiller is a drama miniseries that explores the origins and impact of the U.S. opioid crisis, focusing on the role of Purdue Pharma and OxyContin.
-
C.
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.
-
D.
Panacea
Panacea is the Greek goddess of universal remedy and healing, associated with cures for all diseases.
-
E.
Poison
"Poison" is a hit glam metal song by American band Poison, best known for its catchy hooks and prominent place in late-1980s rock.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd784e306081908dd8317227227807 |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4cd5e188190b1404cefc887e0b3 |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:43 p.m.