Triple

T17077698
Position Surface form Disambiguated ID Type / Status
Subject Avicii E414391 entity
Predicate associatedAct P37 FINISHED
Object Rita Ora E201653 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: Rita Ora | Statement: [Avicii, associatedAct, Rita Ora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita Ora
Context triple: [Avicii, associatedAct, 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 (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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc625c48190b679a521180e10ad completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139f7e6408190978c940c6e641d47 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:34 a.m.