Triple
T22723794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All the Way Up |
E561936
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | EMPIRE |
—
|
NE NERFINISHED |
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: EMPIRE | Statement: [All the Way Up, recordLabel, EMPIRE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMPIRE Context triple: [All the Way Up, recordLabel, EMPIRE]
-
A.
EMPIRE
chosen
EMPIRE is an independent music and entertainment company known for distributing and promoting a wide range of hip-hop and R&B artists.
-
B.
Strange Empire
Strange Empire is a Canadian Western drama television series set in the 19th century that follows a group of women struggling to survive and assert their independence on the frontier after a tragic massacre.
-
C.
Empire
Empire is a post-exploitation and command-and-control framework commonly used for penetration testing and red team operations.
-
D.
Empire
"Empire" is a 2002 crime drama film starring John Leguizamo as a South Bronx drug dealer trying to escape the criminal underworld.
-
E.
Empire
Empire is a small town located in Fond du Lac County, Wisconsin, known for its rural character and proximity to natural attractions like the Kettle Moraine State Forest.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17927e0348190a4dba430563ef155 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.