Triple
T9429937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFC |
E227346
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | AMC Networks |
E167020
|
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: AMC Networks | Statement: [IFC, ownedBy, AMC Networks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMC Networks Context triple: [IFC, ownedBy, AMC Networks]
-
A.
AMC Networks
chosen
AMC Networks is an American entertainment company and cable television broadcaster best known for operating channels like AMC, IFC, and SundanceTV and producing acclaimed original series.
-
B.
AMC (TV channel)
AMC is an American cable television channel best known for original series such as "The Walking Dead," "Mad Men," and "Breaking Bad."
-
C.
AMC
AMC is the stock ticker symbol for AMC Entertainment Holdings, Inc., a major American movie theater chain.
-
D.
AMC
AMC is a renowned veterinary hospital and research center in New York City that provides advanced medical care for companion animals.
-
E.
AMC
AMC is a regional healthcare provider known as Adirondack Medical Center, serving communities in the Adirondack region of New York State.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c94719c81909d7743a57c45e07f |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11038f7b88190bd6b895f5544c63e |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.