Triple

T2826949
Position Surface form Disambiguated ID Type / Status
Subject Itagaki Seishirō E54945 entity
Predicate givenName P17 FINISHED
Object Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
 E370660 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: Seishirō | Statement: [Itagaki Seishirō, givenName, Seishirō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seishirō
Context triple: [Itagaki Seishirō, givenName, Seishirō]
  • A. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • D. Yasuji
    Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • E. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • 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: Seishirō
Triple: [Itagaki Seishirō, givenName, Seishirō]
Generated description
Seishirō is a Japanese given name commonly used for male individuals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seishirō
Target entity description: Seishirō is a Japanese given name commonly used for male individuals.
  • A. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • D. Yasuji
    Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • E. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde94ba848190b2c990936e07e6bb completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b402b005d88190b127d483ee48c2cd completed March 13, 2026, 12:27 p.m.
NEDg Description generation batch_69b4034973c08190b0332a9a8b5340d7 completed March 13, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_69b4086ab034819086c5fa7d4b172d75 completed March 13, 2026, 12:51 p.m.
Created at: March 6, 2026, 9:59 p.m.