Triple

T3513174
Position Surface form Disambiguated ID Type / Status
Subject Princess Kako E74243 entity
Predicate givenName P17 FINISHED
Object Kako
Kako is a member of the Japanese imperial family, known as Princess Kako of Akishino.
 E366372 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: Kako | Statement: [Princess Kako, givenName, Kako]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kako
Context triple: [Princess Kako, givenName, Kako]
  • A. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • B. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • C. Kohat
    Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
  • D. Karo
    Karo is a Jewish family name most famously associated with Rabbi Yosef Karo, the 16th-century author of the Shulchan Aruch.
  • E. Kosbies
    Kosbies is the informal nickname for the King's Own Scottish Borderers, a historic infantry regiment of the British Army.
  • 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: Kako
Triple: [Princess Kako, givenName, Kako]
Generated description
Kako is a member of the Japanese imperial family, known as Princess Kako of Akishino.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kako
Target entity description: Kako is a member of the Japanese imperial family, known as Princess Kako of Akishino.
  • A. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • B. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • C. Kohat
    Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
  • D. Karo
    Karo is a Jewish family name most famously associated with Rabbi Yosef Karo, the 16th-century author of the Shulchan Aruch.
  • E. Kosbies
    Kosbies is the informal nickname for the King's Own Scottish Borderers, a historic infantry regiment of the British Army.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc2d0bf481909d1f19a87d147b63 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e76c3a08190831402ff0c680196 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b38232467c81909eb831bb0747cb77 completed March 13, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_69b385f078d48190a72e61c59aa27e43 completed March 13, 2026, 3:35 a.m.
Created at: March 8, 2026, 3:19 p.m.