Triple

T21010334
Position Surface form Disambiguated ID Type / Status
Subject Anywhere E517529 entity
Predicate artist P184 FINISHED
Object Rita Ora 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: Rita Ora | Statement: [Anywhere, artist, Rita Ora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita Ora
Context triple: [Anywhere, artist, Rita Ora]
  • A. Rita Ora chosen
    Rita Ora is a British singer, songwriter, and actress known for her hit pop songs and film roles, including her appearance in the Fifty Shades film series.
  • B. Lisa Williamson
    Lisa Williamson is an American author, activist, and hip-hop artist better known by her stage name Sister Souljah, noted for her outspoken commentary on race and social justice.
  • C. Ella Carey
    Ella Carey is known primarily as the daughter of American actor Harry Carey.
  • D. Soraya Khalifa
    Soraya Khalifa is a character in Salman Rushdie’s novel "Haroun and the Sea of Stories," depicted as Haroun’s mother whose departure from the family sets the story’s emotional journey in motion.
  • E. Natasha Liu Bordizzo
    Natasha Liu Bordizzo is an Australian actress and model known for her breakout role in the sequel to "Crouching Tiger, Hidden Dragon" and for appearing in various international film and television productions.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3edc548190987a6c2c9936286a completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:53 p.m.