Triple

T17809639
Position Surface form Disambiguated ID Type / Status
Subject Zhang Hanyu E444662 entity
Predicate portrayedIn P626 FINISHED
Object Assembly 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: Assembly | Statement: [Zhang Hanyu, portrayedIn, Assembly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assembly
Context triple: [Zhang Hanyu, portrayedIn, Assembly]
  • A. Assembly
    Assembly is the principal decision-making body of the African Union, composed of heads of state and government from its member countries.
  • B. Assembly
    The Assembly is the highest governing body of the World Council of Churches, where its member churches gather periodically to set policies, elect leadership, and discern common directions for the ecumenical movement.
  • C. Assembly
    The Assembly is the main deliberative body of the Inter-Parliamentary Union, where parliamentarians from member countries meet to debate global issues and adopt resolutions.
  • D. Assembly chosen
    "Assembly" is a 2007 Chinese war drama film directed by Feng Xiaogang, acclaimed for its intense depiction of the Chinese Civil War and featuring Zhang Hanyu in a breakthrough leading role.
  • E. Assembler
    Assembler is a low-level programming language used on IBM mainframe systems like z/OS for writing highly efficient, hardware-near system and application code.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887976e48190842840ef064dc772 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.