Triple

T8440754
Position Surface form Disambiguated ID Type / Status
Subject January Jones E199344 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: [January Jones, employer, AMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMC
Context triple: [January Jones, 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 the U.S. Army Materiel Command, the major Army command responsible for developing, supplying, maintaining, and managing the Army’s equipment and logistics worldwide.
  • D. AMC
    AMC is the stock ticker symbol for AMC Entertainment Holdings, Inc., a major American movie theater chain.
  • E. AMC
    AMC is a renowned veterinary hospital and research center in New York City that provides advanced medical care for companion animals.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe138a94081908e306d22aaa39b24 completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d9140b48190ad0c493948a3de5e completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:08 p.m.