Triple

T15491915
Position Surface form Disambiguated ID Type / Status
Subject The Next Doctor E378706 entity
Predicate featuresAntagonist P32100 FINISHED
Object CyberKing E77722 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: CyberKing | Statement: [The Next Doctor, featuresAntagonist, CyberKing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CyberKing
Context triple: [The Next Doctor, featuresAntagonist, CyberKing]
  • A. Cyber-King chosen
    The Cyber-King is a colossal, weaponized Cyberman war machine and mobile fortress featured in Doctor Who, serving as a devastating manifestation of Cyberman power.
  • B. Royal Cypher
    The Royal Cypher is the personal monogram or emblem of a reigning British monarch, typically combining their initials and royal title beneath a crown, and used as an official symbol on uniforms, badges, and government property.
  • C. Cannon King
    Cannon King is one of the sons of the late American television and radio host Larry King.
  • D. Lyrus
    Lyrus is a minor figure in Greek and Roman mythology known primarily as a son of Anchises.
  • E. Kyrio
    Kyrio is a technology and innovation subsidiary of CableLabs that focuses on testing, certification, and security services for broadband and wireless networks.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fac2af88190ac1d119e6b21dbe0 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365f27c48190822254b6da504d3d completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:49 a.m.