Triple

T20620807
Position Surface form Disambiguated ID Type / Status
Subject The Shack E506691 entity
Predicate castMember P1668 FINISHED
Object Aviv Alush 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: Aviv Alush | Statement: [The Shack, castMember, Aviv Alush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aviv Alush
Context triple: [The Shack, castMember, Aviv Alush]
  • A. Aviv Alush chosen
    Aviv Alush is an Israeli actor and model best known internationally for his role as Jesus in the film adaptation of the Christian novel "The Shack."
  • B. Roni Ashuri
    Roni Ashuri is an entrepreneur and technology executive best known as a founder of the Israeli high-performance networking company Mellanox Technologies.
  • C. Lahav Shani
    Lahav Shani is an acclaimed Israeli conductor and pianist who serves as music director of the Israel Philharmonic Orchestra and is recognized as one of the leading conductors of his generation.
  • D. Yishay Mansour
    Yishay Mansour is an Israeli computer scientist known for his contributions to algorithms, machine learning, and game theory, and for serving as a prominent professor at Tel Aviv University.
  • E. Osnat Shurer
    Osnat Shurer is an Israeli-American film producer best known for her work on major Walt Disney Animation Studios features such as "Moana" and "Raya and the Last Dragon."
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe19ca481908c896bec49a025cd completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.