Triple

T1282705
Position Surface form Disambiguated ID Type / Status
Subject Bill Cobbs E27362 entity
Predicate notableWork P4 FINISHED
Object Night at the Museum E11836 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: Night at the Museum | Statement: [Bill Cobbs, notableWork, Night at the Museum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Night at the Museum
Context triple: [Bill Cobbs, notableWork, Night at the Museum]
  • A. Night at the Museum chosen
    Night at the Museum is a 2006 fantasy-comedy film in which a night watchman discovers that exhibits in a natural history museum magically come to life after dark.
  • B. The Mummy
    The Mummy is a long-running Universal Pictures horror-adventure franchise centered on resurrected ancient Egyptian mummies and the chaos they unleash.
  • C. Ahkmenrah in Night at the Museum
    Ahkmenrah in Night at the Museum is the resurrected young Egyptian pharaoh whose magical tablet brings the museum’s exhibits to life in the film series.
  • D. Revenge of the Mummy
    Revenge of the Mummy is an indoor, high-speed, horror-themed roller coaster and dark ride based on The Mummy film franchise, featuring special effects and immersive storytelling.
  • E. Men in Black
    Men in Black is a popular sci-fi action-comedy film about a secret government agency that monitors and regulates extraterrestrial activity on Earth.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b47be08190828a1c0a11d94ce8 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2fdb3ac81909bc836e2a655130c completed March 7, 2026, 10:13 p.m.
Created at: March 1, 2026, 7:50 p.m.