Triple
T17326811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stat Quo |
E420705
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Cashis |
E1212292
|
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: Cashis | Statement: [Stat Quo, associatedWith, Cashis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cashis Context triple: [Stat Quo, associatedWith, Cashis]
-
A.
Cashis
chosen
Cashis is an American rapper known for his association with Eminem and Shady Records, contributing gritty street-themed verses to various hip-hop projects.
-
B.
Archy McNally
Archy McNally is a charming, witty playboy sleuth who stars as the unconventional private investigator in Lawrence Sanders’ popular McNally mystery novels set in Palm Beach.
-
C.
Al Capp
Al Capp was an American cartoonist best known as the creator of the satirical comic strip "Li'l Abner."
-
D.
Mort Sahl
Mort Sahl was a pioneering American stand-up comedian known for his sharp, politically charged, conversational style that helped transform modern comedy.
-
E.
Waddy Wachtel
Waddy Wachtel is an American guitarist, songwriter, and record producer best known for his prolific session work and collaborations with major rock and pop artists since the 1970s.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d321c881909e63a6870b152c8c |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4c2dc08190b60982abc9ac7c9c |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.