Triple
T9060247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love & Marriage: Huntsville |
E217102
|
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: [Love & Marriage: Huntsville, network, OWN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OWN Context triple: [Love & Marriage: Huntsville, 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.
OST
OST is the IATA airport code for Ostend–Bruges International Airport, a regional airport in Belgium serving the coastal city of Ostend and the historic city of Bruges.
-
D.
ONE
ONE was the stock ticker symbol for Bank One Corporation, a major U.S. bank that later merged with JPMorgan Chase.
-
E.
ONE
ONE is a global advocacy and campaigning organization focused on ending extreme poverty and preventable disease, particularly in Africa.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7eca6d8c8190b1a11a60d6649f78 |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065bddf1c81909b6134179fe92556 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:10 p.m.