Triple

T152180
Position Surface form Disambiguated ID Type / Status
Subject Entertainment Weekly E3454 entity
Predicate coversIndustry P2193 FINISHED
Object Hollywood E247 NE FINISHED

How this triple was built (3 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: Hollywood | Statement: [Entertainment Weekly, coversIndustry, Hollywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollywood
Context triple: [Entertainment Weekly, coversIndustry, Hollywood]
  • A. Hollywood chosen
    Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
  • B. West Hollywood
    West Hollywood is an independent city in Los Angeles County known for its vibrant nightlife, LGBTQ+ community, and iconic Sunset Strip.
  • C. East Hollywood
    East Hollywood is a diverse, densely populated neighborhood in central Los Angeles known for its mix of residential areas, ethnic enclaves, and proximity to major Hollywood landmarks.
  • D. Universal City Station
    Universal City Station is a railway station in Osaka, Japan, serving as the primary train access point for visitors to Universal Studios Japan and the surrounding entertainment district.
  • E. Los Angeles
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coversIndustry
Context triple: [Entertainment Weekly, coversIndustry, Hollywood]
  • A. sector
    Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
  • B. sectorServed chosen
    Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
  • C. category
    Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
  • D. economicClassification
    Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
  • E. company
    Indicates that an entity is a business organization engaged in commercial, industrial, or professional activities.
  • F. None of above.

Provenance (4 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580f55a88190b37b54ee0ed5ac7c completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39d0168508190b6f6766a75dd0e34 completed March 1, 2026, 1:57 a.m.
PD Predicate disambiguation batch_69a2565adaf48190b68ae4444ff83ccd completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.