Triple

T1371341
Position Surface form Disambiguated ID Type / Status
Subject Toyotomi Hideyoshi E30117 entity
Predicate spouse P13 FINISHED
Object Nene
Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
 E158363 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: Nene | Statement: [Toyotomi Hideyoshi, spouse, Nene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nene
Context triple: [Toyotomi Hideyoshi, spouse, Nene]
  • A. Nell
    Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
  • B. Nettie
    Nettie is a key character in "The Color Purple," known as Celie's beloved, intellectually curious sister whose letters and journey abroad provide hope, education, and spiritual grounding to the story.
  • C. Nana
    Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
  • D. Nese
    Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
  • E. Nobiin
    Nobiin is a Nile-Nubian language spoken primarily by Nubian communities in southern Egypt and northern Sudan, known for its ancient roots and rich oral tradition.
  • 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: Nene
Triple: [Toyotomi Hideyoshi, spouse, Nene]
Generated description
Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nene
Target entity description: Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
  • A. Nell
    Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
  • B. Nettie
    Nettie is a key character in "The Color Purple," known as Celie's beloved, intellectually curious sister whose letters and journey abroad provide hope, education, and spiritual grounding to the story.
  • C. Nana
    Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
  • D. Nese
    Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
  • E. Nobiin
    Nobiin is a Nile-Nubian language spoken primarily by Nubian communities in southern Egypt and northern Sudan, known for its ancient roots and rich oral tradition.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f314c081909c0ab80397d96abb completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd481de608190bed1dc385209320e completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd6a03b70819096bdf7ec3b447756 completed March 8, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69acd71971448190940136b8a44040be completed March 8, 2026, 1:55 a.m.
Created at: March 1, 2026, 7:57 p.m.