Triple

T14659169
Position Surface form Disambiguated ID Type / Status
Subject Boaz Yakin E344189 entity
Predicate familyName P18 FINISHED
Object Yakin
Yakin is a surname most notably associated with American filmmaker and screenwriter Boaz Yakin.
 E1112293 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: Yakin | Statement: [Boaz Yakin, familyName, Yakin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yakin
Context triple: [Boaz Yakin, familyName, Yakin]
  • A. Yema
    Yema are traditional religious specialists of the Limbu people who conduct rituals, communicate with spirits, and preserve indigenous spiritual practices.
  • B. Yakoruda
    Yakoruda is a small Bulgarian town situated in the mountainous southwestern region of the country, known for its proximity to the Rhodope and Rila ranges.
  • C. Yamaka
    Yamaka is a canonical text in the Theravāda Abhidhamma that analyzes doctrinal concepts through paired questions and answers to clarify subtle distinctions in Buddhist philosophy.
  • D. Yahagi
    Yahagi was a Japanese World War II light cruiser of the Imperial Japanese Navy, best known for serving as the flagship escort of the battleship Yamato during its final mission.
  • E. Kasagi
    Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
  • 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: Yakin
Triple: [Boaz Yakin, familyName, Yakin]
Generated description
Yakin is a surname most notably associated with American filmmaker and screenwriter Boaz Yakin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yakin
Target entity description: Yakin is a surname most notably associated with American filmmaker and screenwriter Boaz Yakin.
  • A. Yema
    Yema are traditional religious specialists of the Limbu people who conduct rituals, communicate with spirits, and preserve indigenous spiritual practices.
  • B. Yakoruda
    Yakoruda is a small Bulgarian town situated in the mountainous southwestern region of the country, known for its proximity to the Rhodope and Rila ranges.
  • C. Yamaka
    Yamaka is a canonical text in the Theravāda Abhidhamma that analyzes doctrinal concepts through paired questions and answers to clarify subtle distinctions in Buddhist philosophy.
  • D. Yahagi
    Yahagi was a Japanese World War II light cruiser of the Imperial Japanese Navy, best known for serving as the flagship escort of the battleship Yamato during its final mission.
  • E. Kasagi
    Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
NEDg Description generation batch_69fdd65a6c24819088fb18ffcdfe6404 completed May 8, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdd6f172288190ba7097518b1a971e completed May 8, 2026, 12:28 p.m.
Created at: April 10, 2026, 1:27 a.m.