Triple

T4768396
Position Surface form Disambiguated ID Type / Status
Subject Divrei Hayamim E105866 entity
Predicate sharesMaterialWith P58656 FINISHED
Object Kings E19168 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: Kings | Statement: [Divrei Hayamim, sharesMaterialWith, Kings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kings
Context triple: [Divrei Hayamim, sharesMaterialWith, Kings]
  • A. Kings
    Kings is the common shorthand nickname for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
  • B. Kings chosen
    Kings is a biblical book in the Hebrew Bible that narrates the history of the Israelite monarchies from Solomon through the fall of Jerusalem.
  • C. The Royals
    The Royals is the nickname of Reading Football Club, a professional English football team based in Reading, Berkshire.
  • D. The Royals
    The Royals is a nickname for the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
  • E. KING
    KING is the stock ticker symbol for King Digital Entertainment, the video game company best known for creating the mobile puzzle game Candy Crush Saga.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c3f283c8190b2d18ad5159a35ed completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a8f7318819088839becd09577ce completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:21 p.m.