Triple

T4014863
Position Surface form Disambiguated ID Type / Status
Subject Fujiwara no Michinaga E90731 entity
Predicate spouse P13 FINISHED
Object Rinshi
Rinshi was a noblewoman of Japan’s Heian period and the principal wife of the powerful court regent Fujiwara no Michinaga.
E418949 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: Rinshi | Statement: [Fujiwara no Michinaga, spouse, Rinshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rinshi
Context triple: [Fujiwara no Michinaga, spouse, Rinshi]
  • A. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • B. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • C. Itami
    Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
  • D. Shingu
    Shingu is a coastal city in Japan known for its historic Kumano Hongu Taisha shrine and its role as a gateway to the sacred Kumano Kodo pilgrimage routes.
  • E. Rittō
    Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
  • 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: Rinshi
Triple: [Fujiwara no Michinaga, spouse, Rinshi]
Generated description
Rinshi was a noblewoman of Japan’s Heian period and the principal wife of the powerful court regent Fujiwara no Michinaga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rinshi
Target entity description: Rinshi was a noblewoman of Japan’s Heian period and the principal wife of the powerful court regent Fujiwara no Michinaga.
  • A. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • B. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • C. Itami
    Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
  • D. Shingu
    Shingu is a coastal city in Japan known for its historic Kumano Hongu Taisha shrine and its role as a gateway to the sacred Kumano Kodo pilgrimage routes.
  • E. Rittō
    Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa5afdc8190b709af2473d75d02 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589ccd0a48190b98dbe7268df678f completed March 14, 2026, 4:16 p.m.
NEDg Description generation batch_69b58a561a2c8190bb5a0077b3868945 completed March 14, 2026, 4:18 p.m.
NED2 Entity disambiguation (via description) batch_69b58b03e8b48190a9d443a7dfaa9dd4 completed March 14, 2026, 4:21 p.m.
Created at: March 9, 2026, 3:35 p.m.