Triple
T8430982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Sugar |
E199112
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | OWN |
E217103
|
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: OWN | Statement: [Queen Sugar, network, OWN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OWN Context triple: [Queen Sugar, network, OWN]
-
A.
OWN
chosen
OWN is a U.S. cable television network co-founded by Oprah Winfrey that features lifestyle, talk, and scripted programming aimed primarily at African American audiences.
-
B.
What You Own
"What You Own" is a powerful duet from the musical Rent in which the characters Mark and Roger confront themes of identity, purpose, and the struggle to create meaningful art in a consumer-driven world.
-
C.
ONE
ONE was the stock ticker symbol for Bank One Corporation, a major U.S. bank that later merged with JPMorgan Chase.
-
D.
ONE
ONE is a global advocacy and campaigning organization focused on ending extreme poverty and preventable disease, particularly in Africa.
-
E.
OND
OND is the official vehicle registration code used on license plates to identify vehicles registered in Ondo State, Nigeria.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a4876c81908d5a708bb1f35683 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0380ed948190bdba247d67769ade |
completed | April 2, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:07 p.m.