Triple
T12542837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallmark Channel |
E299885
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Hallmark Media |
E755734
|
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: Hallmark Media | Statement: [Hallmark Channel, owner, Hallmark Media]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hallmark Media Context triple: [Hallmark Channel, owner, Hallmark Media]
-
A.
Hallmark Entertainment
chosen
Hallmark Entertainment is a television and film production company best known for creating family-friendly movies and holiday-themed programming, particularly for the Hallmark Channel.
-
B.
Hallmark Channel
Hallmark Channel is an American cable television network best known for its family-friendly movies, holiday programming, and romantic made-for-TV films.
-
C.
Cannell Studios
Cannell Studios is a television and film production company founded by producer and writer Stephen J. Cannell, known for creating and backing numerous popular action and crime series.
-
D.
Hancock Productions
Hancock Productions is a television production company best known for its work on the dark comedy-drama series "Weeds."
-
E.
Benaroya Pictures
Benaroya Pictures is an independent film production company known for financing and producing a range of critically acclaimed and commercially successful feature films.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9547d6df4819080db8415d386ed38 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6557e6d4c81909ed54a039e92a160 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.