Triple

T11248029
Position Surface form Disambiguated ID Type / Status
Subject King Digital Entertainment E266256 entity
Predicate stockTicker P1447 FINISHED
Object KING E266256 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: KING | Statement: [King Digital Entertainment, stockTicker, KING]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KING
Context triple: [King Digital Entertainment, stockTicker, KING]
  • A. KING chosen
    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.
  • B. KING
    KING is a television station in Seattle, Washington, known for its local news coverage and affiliation with major U.S. broadcast networks.
  • C. the king
    The king is a vain and authoritarian monarch whom the Little Prince meets on an asteroid, symbolizing adult obsession with power and control.
  • D. the King
    The King is a con artist character in Mark Twain's "The Adventures of Huckleberry Finn," known for his elaborate scams and deceitful schemes alongside his partner, the Duke.
  • E. Koning
    Koning is a Dutch surname and term meaning “king,” commonly used in the Netherlands and Belgium.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91d1484819098ee6b2efb5316a5 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc69402c8190be8785f892a41c7b completed April 19, 2026, 12:36 p.m.
Created at: April 8, 2026, 9:31 p.m.