Triple

T12597906
Position Surface form Disambiguated ID Type / Status
Subject Shawn King E300779 entity
Predicate hasChild P369 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: [Shawn King, hasChild, Cannon King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cannon King
Context triple: [Shawn King, hasChild, Cannon King]
  • A. Cannon King chosen
    Cannon King is one of the sons of the late American television and radio host Larry King.
  • B. “Cannon King”
    “Cannon King” is the nickname of German industrialist Alfred Krupp, famed for building a powerful armaments empire centered on steel and artillery production in the 19th century.
  • C. Kingu
    Kingu is a figure in Babylonian mythology, a consort of the goddess Tiamat who is granted the Tablet of Destinies and whose blood is used to create humankind in the Enuma Elish creation epic.
  • D. Kingo
    Kingo is an Eternal who lives on Earth as a charismatic Bollywood movie star while secretly using his cosmic powers to protect humanity.
  • E. Kingo
    Kingo is a Japanese given name most notably borne by Tatsuno Kingo, a prominent architect of Japan’s Meiji era.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954d096d08190afa1f685bad68d35 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec75fc08190aa13cbb0161eb35c completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:08 p.m.