Triple

T2815663
Position Surface form Disambiguated ID Type / Status
Subject Chance King E54277 entity
Predicate sibling P363 FINISHED
Object Cannon King E54278 NE FINISHED

How this triple was built (2 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: Cannon King | Statement: [Chance King, sibling, Cannon King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cannon King
Context triple: [Chance King, sibling, Cannon King]
  • A. Cannon King chosen
    Cannon King is one of the sons of the late American television and radio host Larry King.
  • B. Dragon King
    The Dragon King is a prominent water and weather deity in Chinese tradition, revered as the ruler of seas, rivers, and rainfall.
  • C. Dragon King
    The Dragon King is the official title of the reigning monarch of Bhutan, symbolizing the country's spiritual and cultural identity.
  • D. Sōri Daijin
    Sōri Daijin is the Japanese term for the Prime Minister, the head of government and chief executive authority of Japan.
  • E. Konan
    Konan is a city located in Shiga Prefecture, Japan, known for its mix of rural landscapes, historical sites, and residential areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4ed4ac81909f1ec4a3f7869bc1 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9f964081909e422aaf1f026dbb completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.