Triple

T11946344
Position Surface form Disambiguated ID Type / Status
Subject Frank Merrill E284307 entity
Predicate familyName P18 FINISHED
Object Merrill E139709 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: Merrill | Statement: [Frank Merrill, familyName, Merrill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merrill
Context triple: [Frank Merrill, familyName, Merrill]
  • A. Merrill
    Merrill is a small city in northwestern Iowa, United States, located in Plymouth County along the Floyd River.
  • B. Merrill
    Merrill is a given name used by various notable individuals across fields such as literature, entertainment, and business.
  • C. Merrill
    Merrill is the wealth management and brokerage division of Bank of America, offering investment advice, financial planning, and related services to individual and institutional clients.
  • D. Merrill chosen
    Merrill is a surname most notably associated with American actor Gary Merrill, known for his work in mid-20th-century film and television.
  • E. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458cbb08881909a71f0592c9231ae completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.