Triple

T3660020
Position Surface form Disambiguated ID Type / Status
Subject The Age of Steel E77624 entity
Predicate featuresCharacter P626 FINISHED
Object Cyber Leader 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: Cyber Leader | Statement: [The Age of Steel, featuresCharacter, Cyber Leader]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyber Leader
Context triple: [The Age of Steel, featuresCharacter, Cyber Leader]
  • A. Cyber Lieutenant
    Cyber Lieutenant is a Cyberman officer from the classic Doctor Who serial "Earthshock," serving as a high-ranking antagonist in the Cybermen hierarchy.
  • B. 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.
  • C. 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.
  • D. Cyber Pearl
    Cyber Pearl is a prominent commercial office complex in Hyderabad’s HITEC City, known for housing numerous IT and technology companies.
  • E. Cyber City
    Cyber City is a major corporate and IT hub in Gurugram, India, known for its high-rise offices, multinational company campuses, and modern commercial infrastructure.
  • 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_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_69b4cde33a9481908211d7e0d53955e8 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:25 p.m.