Triple

T17886394
Position Surface form Disambiguated ID Type / Status
Subject Khary Payton E447210 entity
Predicate employer P7 FINISHED
Object AMC (TV channel) E710979 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 (TV channel) | Statement: [Khary Payton, employer, AMC (TV channel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMC (TV channel)
Context triple: [Khary Payton, employer, AMC (TV channel)]
  • A. AMC (TV channel) chosen
    AMC is an American cable television channel best known for original series such as "The Walking Dead," "Mad Men," and "Breaking Bad."
  • 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 stock ticker symbol for AMC Entertainment Holdings, Inc., a major American movie theater chain.
  • E. 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.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c13bd288190a0302010ba4d0532 completed April 19, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313d994208190a6023cd9ba0602db completed May 12, 2026, 11:49 a.m.
Created at: April 10, 2026, 10:18 a.m.