Triple

T3660113
Position Surface form Disambiguated ID Type / Status
Subject Cyber-Shades E77626 entity
Predicate episodeVillainServed P50209 FINISHED
Object Cyber-King E77722 NE FINISHED

How this triple was built (3 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: Cyber-King | Statement: [Cyber-Shades, episodeVillainServed, Cyber-King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyber-King
Context triple: [Cyber-Shades, episodeVillainServed, Cyber-King]
  • 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. Cyber Pearl
    Cyber Pearl is a prominent commercial office complex in Hyderabad’s HITEC City, known for housing numerous IT and technology companies.
  • C. Cyber Towers
    Cyber Towers is a prominent IT office complex in Hyderabad, India, widely recognized as the iconic gateway building of the HITEC City technology hub.
  • D. Cyber-Shades
    Cyber-Shades are a variant of the Cybermen in Doctor Who, characterized by their bestial, hound-like form used for tracking and capturing victims.
  • E. Cyberpark 2
    Cyberpark 2 is a modern office and commercial tower within Araneta City in Quezon City, Philippines, designed to host business process outsourcing firms and other corporate tenants.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: episodeVillainServed
Context triple: [Cyber-Shades, episodeVillainServed, Cyber-King]
  • A. hasVillain
    Indicates that one entity is the villain or primary antagonist associated with another entity.
  • B. featuresVillainActor
    Indicates that the subject includes or presents an actor in the role of a villain.
  • C. villainDescription
    Indicates that one entity provides a description or characterization of a villainous role or antagonist associated with another entity.
  • D. episodeOfDeath
    Indicates the specific event or episode during which an entity’s death occurred.
  • E. antagonistOf
    Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
  • F. None of above. chosen

Provenance (5 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d5e5f881909c7c105827d41071 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c39796648190a83a7f1a63c653bd completed March 14, 2026, 2:10 a.m.
PD Predicate disambiguation batch_69adb847e9d881909dad2ffd0f3b6c15 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb97cdb788190a5ce96b21bd157ab completed March 8, 2026, 6:01 p.m.
Created at: March 8, 2026, 3:25 p.m.