Triple

T10089985
Position Surface form Disambiguated ID Type / Status
Subject John Alvin E215316 entity
Predicate notableWork P4 FINISHED
Object Destination Tokyo
Destination Tokyo is a film poster artwork created by renowned American movie-poster artist John Alvin.
 E840918 NE FINISHED

How this triple was built (4 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: Destination Tokyo | Statement: [John Alvin, notableWork, Destination Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Destination Tokyo
Context triple: [John Alvin, notableWork, Destination Tokyo]
  • A. Nadi–Tokyo
    Nadi–Tokyo is an international flight route linking Nadi, Fiji with Tokyo, Japan, serving as a key air connection between the South Pacific and East Asia.
  • B. Tōkyō-wan
    Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
  • C. Tokyo city center
    Tokyo city center is the central urban area of Japan’s capital, encompassing major business districts, government institutions, and key commercial and cultural hubs.
  • D. London–Tokyo
    London–Tokyo is a major intercontinental air route linking the capital cities of the United Kingdom and Japan.
  • E. Ōta, Tokyo
    Ōta, Tokyo is a large ward in southern Tokyo known for its mix of residential and industrial areas and for hosting Haneda Airport, one of Japan’s major international gateways.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Destination Tokyo
Triple: [John Alvin, notableWork, Destination Tokyo]
Generated description
Destination Tokyo is a film poster artwork created by renowned American movie-poster artist John Alvin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Destination Tokyo
Target entity description: Destination Tokyo is a film poster artwork created by renowned American movie-poster artist John Alvin.
  • A. Nadi–Tokyo
    Nadi–Tokyo is an international flight route linking Nadi, Fiji with Tokyo, Japan, serving as a key air connection between the South Pacific and East Asia.
  • B. Tōkyō-wan
    Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
  • C. Tokyo city center
    Tokyo city center is the central urban area of Japan’s capital, encompassing major business districts, government institutions, and key commercial and cultural hubs.
  • D. London–Tokyo
    London–Tokyo is a major intercontinental air route linking the capital cities of the United Kingdom and Japan.
  • E. Ōta, Tokyo
    Ōta, Tokyo is a large ward in southern Tokyo known for its mix of residential and industrial areas and for hosting Haneda Airport, one of Japan’s major international gateways.
  • F. None of above. chosen

Provenance (5 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05960008190baecb8e4c9f2461f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b69cd26c8190bf4b488377dc0ce1 completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b7901ea08190a48e984356bd3d71 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b8813f9c8190a85462efb7a0a517 completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9:01 p.m.