Triple

T16004744
Position Surface form Disambiguated ID Type / Status
Subject Olivier Bériot E388186 entity
Predicate workedOn P3 FINISHED
Object Wasabi
Wasabi is a French action-comedy film known for its blend of fast-paced thrills and humor, directed by Gérard Krawczyk and starring Jean Reno.
E1187642 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: Wasabi | Statement: [Olivier Bériot, workedOn, Wasabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasabi
Context triple: [Olivier Bériot, workedOn, Wasabi]
  • A. Wasabi
    Wasabi is a cautious yet skilled member of the superhero team in Disney's animated film "Big Hero 6," known for his precision, laser-based weaponry, and rule-abiding personality.
  • B. Shiso
    Shiso is a small inland city in Japan’s Hyogo Prefecture known for its mountainous scenery, forests, and outdoor recreation.
  • C. Ube
    Ube is an industrial city in western Japan known for its chemical industry, cement production, and efforts to improve its environment and urban landscape.
  • D. Nori
    Nori is a Dwarf of Durin's Folk and a member of Thorin Oakenshield's company who survived the Quest of Erebor in J.R.R. Tolkien's legendarium.
  • E. Nori
    Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
  • 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: Wasabi
Triple: [Olivier Bériot, workedOn, Wasabi]
Generated description
Wasabi is a French action-comedy film known for its blend of fast-paced thrills and humor, directed by Gérard Krawczyk and starring Jean Reno.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wasabi
Target entity description: Wasabi is a French action-comedy film known for its blend of fast-paced thrills and humor, directed by Gérard Krawczyk and starring Jean Reno.
  • A. Wasabi
    Wasabi is a cautious yet skilled member of the superhero team in Disney's animated film "Big Hero 6," known for his precision, laser-based weaponry, and rule-abiding personality.
  • B. Shiso
    Shiso is a small inland city in Japan’s Hyogo Prefecture known for its mountainous scenery, forests, and outdoor recreation.
  • C. Ube
    Ube is an industrial city in western Japan known for its chemical industry, cement production, and efforts to improve its environment and urban landscape.
  • D. Nori
    Nori is a Dwarf of Durin's Folk and a member of Thorin Oakenshield's company who survived the Quest of Erebor in J.R.R. Tolkien's legendarium.
  • E. Nori
    Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fe776c81908f7bf29ef064a6ba completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc49bfa088190a6291f560ca9bdb5 completed May 9, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffc538a5f0819097ea09f57d3cae35 completed May 9, 2026, 11:37 p.m.
Created at: April 10, 2026, 4:55 a.m.