Triple

T13500196
Position Surface form Disambiguated ID Type / Status
Subject Evie Rommely E320866 entity
Predicate familyName P18 FINISHED
Object Rommely
Rommely is the surname of the fictional Rommely family featured in Betty Smith’s novel "A Tree Grows in Brooklyn."
 E1045128 NE FINISHED

How this triple was built (4 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: [Evie Rommely, familyName, Rommely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rommely
Context triple: [Evie Rommely, familyName, Rommely]
  • A. Romm
    Romm is a surname most notably associated with Soviet film director and screenwriter Mikhail Romm.
  • B. 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.
  • C. Ramel
    Ramel is a Swedish surname most notably associated with the entertainer and composer Povel Ramel.
  • D. Romita
    Romita is a town in the Mexican state of Guanajuato that serves as the administrative and population center of the surrounding Romita Municipality.
  • E. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rommely
Triple: [Evie Rommely, familyName, Rommely]
Generated description
Rommely is the surname of the fictional Rommely family featured in Betty Smith’s novel "A Tree Grows in Brooklyn."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rommely
Target entity description: Rommely is the surname of the fictional Rommely family featured in Betty Smith’s novel "A Tree Grows in Brooklyn."
  • A. Romm
    Romm is a surname most notably associated with Soviet film director and screenwriter Mikhail Romm.
  • B. 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.
  • C. Ramel
    Ramel is a Swedish surname most notably associated with the entertainer and composer Povel Ramel.
  • D. Romita
    Romita is a town in the Mexican state of Guanajuato that serves as the administrative and population center of the surrounding Romita Municipality.
  • E. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • F. None of above. chosen

Provenance (5 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75487cb3c8190ab7f3bc36755b74c completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f75585cac88190bcf3fcd714d73b1b completed May 3, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69f7561f170c8190b12c79fbbe57ad91 completed May 3, 2026, 2:05 p.m.
Created at: April 9, 2026, 9:43 p.m.