Triple

T17904580
Position Surface form Disambiguated ID Type / Status
Subject Hong Chau E447668 entity
Predicate notableWork P4 FINISHED
Object The Menu 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: The Menu | Statement: [Hong Chau, notableWork, The Menu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Menu
Context triple: [Hong Chau, notableWork, The Menu]
  • A. The Menu chosen
    The Menu is a 2022 dark comedy horror film about an exclusive dining experience that spirals into a sinister ordeal, starring Anya Taylor-Joy and Ralph Fiennes.
  • B. MatMenu
    MatMenu is an Angular Material UI component that provides a configurable, accessible dropdown menu for displaying lists of actions or options.
  • C. mintMenu
    mintMenu is a customizable, menu-style application launcher designed for the Linux Mint desktop environment to provide easy access to installed programs, system settings, and search.
  • D. Akh-menu
    Akh-menu is a monumental festival temple built by Pharaoh Thutmose III within the Karnak complex, dedicated to the god Amun-Re and used for important religious ceremonies and royal jubilees.
  • E. Menu Manager
    Menu Manager is a system component responsible for defining, organizing, and controlling the interactive menu structures that a dialog manager can present to users.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9a9cfc8190879fc36dfdeb562b completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.