Triple

T23421776
Position Surface form Disambiguated ID Type / Status
Subject Tsuyoshi Ihara E560673 entity
Predicate portrayedHistoricalFigure P55200 FINISHED
Object Takeichi Nishi
Takeichi Nishi was a Japanese Imperial Army cavalry officer, Olympic gold medalist in show jumping, and notable commander who died defending Iwo Jima during World War II.
 E2296340 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: Takeichi Nishi | Statement: [Tsuyoshi Ihara, portrayedHistoricalFigure, Takeichi Nishi]
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: Takeichi Nishi
Triple: [Tsuyoshi Ihara, portrayedHistoricalFigure, Takeichi Nishi]
Generated description
Takeichi Nishi was a Japanese Imperial Army cavalry officer, Olympic gold medalist in show jumping, and notable commander who died defending Iwo Jima during World War II.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: portrayedHistoricalFigure
Context triple: [Tsuyoshi Ihara, portrayedHistoricalFigure, Takeichi Nishi]
  • A. basedOnHistoricalFigure
    Indicates that something is derived from, inspired by, or modeled after a real historical person.
  • B. wasPortrayedAs chosen
    Indicates that one entity has been depicted or represented in the form or role of another entity, typically within some medium or context.
  • C. historicalFigure
    Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
  • D. historicalFigureProfiled
    Indicates that a historical figure is the subject of a detailed account, study, or portrayal describing their life, actions, and significance.
  • E. portrayedVia
    Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
  • F. None of above.

Provenance (6 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_6a826538b2488190b8a5971dd4ce727c completed Aug. 17, 2026, 1:34 a.m.
NEDg Description generation batch_6a8265a55ee88190958f9a9286b9f9dc completed Aug. 17, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_6a8265f7223c81908277d9ac6efdc902 completed Aug. 17, 2026, 1:37 a.m.
PD Predicate disambiguation batch_69f061f92da081908e7f1d0cd1e9b01c completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 5:46 p.m.