Triple

T13499379
Position Surface form Disambiguated ID Type / Status
Subject Sessue Hayakawa E320844 entity
Predicate givenName P17 FINISHED
Object Kintarō
Kintarō is the given name of Sessue Hayakawa, the pioneering Japanese actor who became one of early Hollywood’s first major Asian stars.
 E249378 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: Kintarō | Statement: [Sessue Hayakawa, givenName, Kintarō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kintarō
Context triple: [Sessue Hayakawa, givenName, Kintarō]
  • A. Kinnosuke
    Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
  • B. Kenjirō
    Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
  • C. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • D. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • E. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • 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: Kintarō
Triple: [Sessue Hayakawa, givenName, Kintarō]
Generated description
Kintarō is the given name of Sessue Hayakawa, the pioneering Japanese actor who became one of early Hollywood’s first major Asian stars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kintarō
Target entity description: Kintarō is the given name of Sessue Hayakawa, the pioneering Japanese actor who became one of early Hollywood’s first major Asian stars.
  • A. Kinnosuke
    Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
  • B. Kenjirō
    Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
  • C. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • D. Kentarō chosen
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • E. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • F. None of above.

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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb6e3d048190869bba1b4a7e255f completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fe0039e77881908f10b01b3a59c808 completed May 8, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69fe00e7a99881908b96f6915f1ac779 completed May 8, 2026, 3:27 p.m.
Created at: April 9, 2026, 9:43 p.m.