Triple

T12903119
Position Surface form Disambiguated ID Type / Status
Subject Arabella Barrett E308659 entity
Predicate givenName P17 FINISHED
Object Arabella E368923 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: Arabella | Statement: [Arabella Barrett, givenName, Arabella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabella
Context triple: [Arabella Barrett, givenName, Arabella]
  • A. Arabella chosen
    Arabella is a feminine given name of Latin origin, often associated with elegance and used in various English-speaking cultures.
  • B. Arabella
    Arabella is a romantic opera in three acts by Richard Strauss, first performed in 1933, known for its lush orchestration and exploration of love and social expectations in 19th-century Vienna.
  • C. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • D. Cecilia
    "Cecilia" is a popular, upbeat folk-rock song by the American duo Simon & Garfunkel, known for its catchy rhythm and playful lyrics.
  • E. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971820e008190bf8bc7c392c8bcbb completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a563a84c8190a75d830653661518 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.