Triple

T10774999
Position Surface form Disambiguated ID Type / Status
Subject Sherif E254174 entity
Predicate hasVariant P455 FINISHED
Object Chérif E687298 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: Chérif | Statement: [Sherif, hasVariant, Chérif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chérif
Context triple: [Sherif, hasVariant, Chérif]
  • A. Chérif chosen
    Chérif is a family name of Arabic origin historically associated with notable North African figures such as Ahmed Bey ben Mohamed Chérif.
  • B. Driss
    Driss is the charismatic, streetwise caregiver who forms an unlikely but transformative friendship with a wealthy quadriplegic man in the French film "The Intouchables."
  • C. Monsieur Ibrahim
    Monsieur Ibrahim is a 2003 French drama film in which Omar Sharif delivers an acclaimed performance as a wise Turkish shopkeeper who befriends a lonely Parisian boy.
  • D. Babouk
    Babouk is a 1934 historical novel by Guy Endore that offers a radical, fictionalized account of the Haitian Revolution from the perspective of enslaved Africans.
  • E. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329cc6c881908f827edff941d456 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238559b48190abc759e744ab0f8e completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.