Triple
T14787985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTV2 |
E347577
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | BCE Inc. |
E49798
|
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: BCE Inc. | Statement: [CTV2, parentCompany, BCE Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BCE Inc. Context triple: [CTV2, parentCompany, BCE Inc.]
-
A.
BCE Inc.
chosen
BCE Inc. is a major Canadian telecommunications and media company best known as the parent of Bell Canada and various broadcasting and digital media assets.
-
B.
Bond Corporation
Bond Corporation was a major Australian conglomerate best known for its rapid expansion and high-profile investments under businessman Alan Bond during the 1970s and 1980s.
-
C.
E Corp
E Corp is the powerful, corrupt multinational conglomerate that serves as the main corporate antagonist in the television series "Mr. Robot."
-
D.
Bazelevs Company
Bazelevs Company is a Russian film production company founded by director Timur Bekmambetov, known for producing genre films and pioneering screenlife-style movies.
-
E.
Marcus Corporation
Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa1e9ec81908d7c26c1c4e43014 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b9e8a08190bc736ac207b77324 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.