Triple
T8979010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Greene |
E214471
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | AMC |
E82644
|
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 | Statement: [Beth Greene, network, AMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMC Context triple: [Beth Greene, network, AMC]
-
A.
AMC
chosen
AMC is an American cable television network known for acclaimed original series such as "Mad Men," "Breaking Bad," and "The Walking Dead."
-
B.
AMC
AMC is a renowned veterinary hospital and research center in New York City that provides advanced medical care for companion animals.
-
C.
AMC
AMC is a regional healthcare provider known as Adirondack Medical Center, serving communities in the Adirondack region of New York State.
-
D.
AMC
AMC is the U.S. Army Materiel Command, the major Army command responsible for developing, supplying, maintaining, and managing the Army’s equipment and logistics worldwide.
-
E.
AMC
AMC is the stock ticker symbol for AMC Entertainment Holdings, Inc., a major American movie theater chain.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a4b3e88190b778a9b5589cab6d |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9719f5c8190bc22c3c7375b54f7 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:03 p.m.