Triple
T1864003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clipse |
E34878
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | No Malice |
E65346
|
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: No Malice | Statement: [Clipse, hasMember, No Malice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Malice Context triple: [Clipse, hasMember, No Malice]
-
A.
No Malice
chosen
No Malice is an American rapper best known as one half of the hip hop duo Clipse, alongside his brother Pusha T.
-
B.
Malice n Wonderland
Malice n Wonderland is a studio album by American rapper Snoop Dogg that blends West Coast hip hop with funk-influenced production and laid-back party anthems.
-
C.
Dirrty
"Dirrty" is a 2002 hit single by Christina Aguilera known for its edgy sound, provocative lyrics, and controversial music video that marked a bold shift in her public image.
-
D.
Troublemaker
Troublemaker is a card in the Uno game that typically introduces disruptive or challenging effects to alter normal gameplay.
-
E.
U-God
U-God is an American rapper best known as a core member of the influential hip hop collective Wu-Tang Clan.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a0b4b881908b07c07db624701d |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf4ecdc08190a264b358d3883f70 |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:34 p.m.