Triple
T20248465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ultra City Smiths |
E498486
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | AMC |
—
|
NE NERFINISHED |
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: [Ultra City Smiths, originalNetwork, AMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMC Context triple: [Ultra City Smiths, originalNetwork, AMC]
-
A.
AMC
AMC refers to Allied Military Currency, special banknotes issued by Allied forces during and after World War II for use in occupied and liberated territories.
-
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
chosen
AMC is the stock ticker symbol for AMC Entertainment Holdings, Inc., a major American movie theater chain.
-
E.
AMC
AMC is a series of nationally recognized mathematics competitions in the United States that challenge and identify talented middle and high school students.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.