Triple

T4836702
Position Surface form Disambiguated ID Type / Status
Subject Sadie Frost E108075 entity
Predicate appearedIn P795 FINISHED
Object Empire State E367473 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: Empire State | Statement: [Sadie Frost, appearedIn, Empire State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empire State
Context triple: [Sadie Frost, appearedIn, Empire State]
  • A. Empire State
    Empire State is a well-known nickname for the U.S. state of New York, reflecting its historical wealth, influence, and prominence.
  • B. Empire State chosen
    Empire State is a 2013 American crime drama film about a pair of friends who plan a major armored car depot heist in New York City.
  • C. Empire State Building
    The Empire State Building is an iconic 102-story Art Deco skyscraper in Midtown Manhattan that was once the world’s tallest building and remains a symbol of New York City.
  • D. New York World Building
    The New York World Building was a historic late-19th-century skyscraper in Manhattan that once housed the offices of the New York World newspaper and was among the tallest buildings of its time.
  • E. LaGuardia Tower
    LaGuardia Tower is the air traffic control facility responsible for managing aircraft movements at New York’s LaGuardia Airport.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce193488190a618250a5681f3ff completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be778cace48190ad28eaf21aec7146 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:25 p.m.