Triple

T13261552
Position Surface form Disambiguated ID Type / Status
Subject John Forsythe E315808 entity
Predicate screenDebut P26909 FINISHED
Object Destination Tokyo
Destination Tokyo is a 1943 World War II submarine war film starring Cary Grant that marked John Forsythe’s first appearance on screen.
 E1030103 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 Forsythe, screenDebut, Destination Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Destination Tokyo
Context triple: [John Forsythe, screenDebut, Destination Tokyo]
  • A. Destination Tokyo
    Destination Tokyo is a film poster artwork created by renowned American movie-poster artist John Alvin.
  • B. 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.
  • C. 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.
  • D. Nishitōkyō, Tokyo
    Nishitōkyō is a residential city in western Tokyo Metropolis known for its suburban character and role as a commuter area for central Tokyo.
  • E. TYO
    TYO is the metropolitan airport code representing the Tokyo area’s major airports, primarily Haneda (HND) and Narita (NRT).
  • 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 Forsythe, screenDebut, Destination Tokyo]
Generated description
Destination Tokyo is a 1943 World War II submarine war film starring Cary Grant that marked John Forsythe’s first appearance on screen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Destination Tokyo
Target entity description: Destination Tokyo is a 1943 World War II submarine war film starring Cary Grant that marked John Forsythe’s first appearance on screen.
  • A. Destination Tokyo
    Destination Tokyo is a film poster artwork created by renowned American movie-poster artist John Alvin.
  • B. 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.
  • C. 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.
  • D. Nishitōkyō, Tokyo
    Nishitōkyō is a residential city in western Tokyo Metropolis known for its suburban character and role as a commuter area for central Tokyo.
  • E. TYO
    TYO is the metropolitan airport code representing the Tokyo area’s major airports, primarily Haneda (HND) and Narita (NRT).
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901b380881909e6520fbb6811084 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4612cc8190b45673a3994cee18 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70c42d5008190bcd6275054637448 completed May 3, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_69f70ce60a7081908f9498fcfec98e90 completed May 3, 2026, 8:52 a.m.
Created at: April 9, 2026, 9:25 p.m.