Triple

T23421752
Position Surface form Disambiguated ID Type / Status
Subject Tsuyoshi Ihara E560673 entity
Predicate actedIn P1668 FINISHED
Object Ninja
Ninja is a 2009 American martial arts action film centered on a Western ninja warrior caught in a deadly conflict over a legendary weapon.
 E1586498 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: Ninja | Statement: [Tsuyoshi Ihara, actedIn, Ninja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ninja
Context triple: [Tsuyoshi Ihara, actedIn, Ninja]
  • A. Ninja
    Ninja is a South African rapper and actor best known as one half of the rave-rap duo Die Antwoord and for his distinctive, provocative performance style.
  • B. Ninja
    Ninja is a popular line of high-performance sport motorcycles produced by Kawasaki, known for their aggressive styling and strong racing heritage.
  • C. Ninja
    Ninja is a suspended steel roller coaster at Six Flags Magic Mountain known for its swift, swinging turns through a wooded terrain.
  • D. Ninja
    Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
  • E. Ninja
    The Kawasaki OH-1 "Ninja" is a Japanese light observation and scout helicopter designed for reconnaissance and target designation missions.
  • 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: Ninja
Triple: [Tsuyoshi Ihara, actedIn, Ninja]
Generated description
Ninja is a 2009 American martial arts action film centered on a Western ninja warrior caught in a deadly conflict over a legendary weapon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ninja
Target entity description: Ninja is a 2009 American martial arts action film centered on a Western ninja warrior caught in a deadly conflict over a legendary weapon.
  • A. Ninja
    Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
  • B. Ninja
    The Kawasaki OH-1 "Ninja" is a Japanese light observation and scout helicopter designed for reconnaissance and target designation missions.
  • C. Ninja
    Ninja is a South African rapper and actor best known as one half of the rave-rap duo Die Antwoord and for his distinctive, provocative performance style.
  • D. Ninja
    Ninja is a popular line of high-performance sport motorcycles produced by Kawasaki, known for their aggressive styling and strong racing heritage.
  • E. Ninja
    Ninja is a suspended steel roller coaster at Six Flags Magic Mountain known for its swift, swinging turns through a wooded terrain.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a546c08c8190b57d90e88034eef3 completed April 29, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67a372f88190a9cee3c37e4e6507 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c72156130819082e1d07262e144ca completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76ed37b08190af81b4ae2dc7c028 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:46 p.m.