Triple

T11145745
Position Surface form Disambiguated ID Type / Status
Subject Princess Zahra Aga Khan E263664 entity
Predicate educatedAt P5 FINISHED
Object Le Rosey E499612 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: Le Rosey | Statement: [Princess Zahra Aga Khan, educatedAt, Le Rosey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Rosey
Context triple: [Princess Zahra Aga Khan, educatedAt, Le Rosey]
  • A. Le Rosey chosen
    Le Rosey is an elite Swiss boarding school renowned for its international student body, bilingual education, and reputation as one of the most exclusive schools in the world.
  • B. Rosies
    Rosies is the colloquial name for the Rose M. Singer Center, a women’s jail facility on New York City’s Rikers Island.
  • C. Hollywood Rose
    Hollywood Rose was an early 1980s Los Angeles hard rock band that served as a precursor to and featured future members of Guns N' Roses.
  • D. Rose in Bloom
    Rose in Bloom is a coming-of-age novel by Louisa May Alcott that follows the personal and moral development of a young heiress navigating love, family, and social expectations.
  • E. Rose Sees Red
    Rose Sees Red is a young adult novel by Cecil Castellucci that follows the unlikely friendship between an American girl and a Soviet ballerina in 1980s New York City amid Cold War tensions.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8634d5481909b114d30a542ea3f completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4421d35f48190a5905fbab39f4015 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.