Triple
T8109075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1+1 International |
E189299
|
entity |
| Predicate | parentNetwork |
P2594
|
FINISHED |
| Object | 1+1 |
E189299
|
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: 1+1 | Statement: [1+1 International, parentNetwork, 1+1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1+1 Context triple: [1+1 International, parentNetwork, 1+1]
-
A.
1+1 International
chosen
1+1 International is a Ukrainian international television channel that broadcasts programming from the 1+1 network to audiences outside Ukraine.
-
B.
ONE
ONE was the stock ticker symbol for Bank One Corporation, a major U.S. bank that later merged with JPMorgan Chase.
-
C.
ONE
ONE is a global advocacy and campaigning organization focused on ending extreme poverty and preventable disease, particularly in Africa.
-
D.
One & Two
One & Two is a 2015 American independent science fiction drama film that follows two siblings with supernatural abilities struggling against their strict, isolated upbringing.
-
E.
Pluss
Pluss is a music producer known for crafting beats and collaborating with various artists in contemporary hip-hop and related genres.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fbc57c81908c6be87bbc547085 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9421794081909170ea11b09ae357 |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:32 p.m.