Triple

T8765196
Position Surface form Disambiguated ID Type / Status
Subject Brandy E208321 entity
Predicate parent P120 FINISHED
Object Sonja Norwood E449226 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: Sonja Norwood | Statement: [Brandy, parent, Sonja Norwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonja Norwood
Context triple: [Brandy, parent, Sonja Norwood]
  • A. Sonja Norwood chosen
    Sonja Norwood is an American talent manager and television personality best known for managing the careers of her children, singer-actress Brandy and entertainer Ray J.
  • B. Marilee Earle
    Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
  • C. Linda Nordley
    Linda Nordley is a central female character in the 1953 adventure film "Mogambo," portrayed as a refined Englishwoman whose arrival complicates the romantic and emotional dynamics on an African safari.
  • D. Sonja Hogg
    Sonja Hogg is an American women's basketball coach best known for helping build Baylor University's women's program into a national contender.
  • E. Jane Loring
    Jane Loring was a film editor known for her work in early 20th-century American cinema.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ee850b88190a0294bcbe4045aa3 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98801deb8819092a45193078f09b4 completed April 10, 2026, 11:30 p.m.
Created at: March 30, 2026, 6:40 p.m.