Triple

T18160878
Position Surface form Disambiguated ID Type / Status
Subject Mary Rommely E434756 entity
Predicate familyName P18 FINISHED
Object Rommely 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: Rommely | Statement: [Mary Rommely, familyName, Rommely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rommely
Context triple: [Mary Rommely, familyName, Rommely]
  • A. Rommely chosen
    Rommely is the surname of the fictional Rommely family featured in Betty Smith’s novel "A Tree Grows in Brooklyn."
  • B. Romm
    Romm is a surname most notably associated with Soviet film director and screenwriter Mikhail Romm.
  • C. Romilda
    Romilda is a principal female character in Handel’s opera "Serse," known for being the object of the title character’s romantic pursuit and for her own love for another man.
  • D. Roisel
    Roisel is a small commune in the Somme department of northern France, situated within the historical region of Picardy.
  • E. Ramel
    Ramel is a Swedish surname most notably associated with the entertainer and composer Povel Ramel.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec21e6081909070491f679c873c completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.