Triple

T7773021
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Lisco E179118 entity
Predicate employer P7 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: [Jonathan Lisco, employer, AMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMC
Context triple: [Jonathan Lisco, employer, 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 refers to Allied Military Currency, special banknotes issued by Allied forces during and after World War II for use in occupied and liberated territories.
  • C. AMC
    AMC is a renowned veterinary hospital and research center in New York City that provides advanced medical care for companion animals.
  • D. AMC
    AMC is a regional healthcare provider known as Adirondack Medical Center, serving communities in the Adirondack region of New York State.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046048688190a6cbc64e82b58eca completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ee407881908e591d216c504b24 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.