Triple

T9906327
Position Surface form Disambiguated ID Type / Status
Subject I Am a Camera E185020 entity
Predicate basedOn P98 FINISHED
Object Metropolis E221377 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: Metropolis | Statement: [I Am a Camera, basedOn, Metropolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolis
Context triple: [I Am a Camera, basedOn, Metropolis]
  • A. Metropolis
    Metropolis is a major Ethereum protocol upgrade that introduced significant improvements to scalability, security, and usability of the blockchain.
  • B. Metropolis
    Metropolis is a fictional, futuristic American city in the DC Comics universe, best known as Superman’s primary home and the backdrop for many of his stories.
  • C. Metropolis chosen
    Metropolis is a landmark 1927 German expressionist science-fiction film directed by Fritz Lang, renowned for its pioneering special effects and dystopian vision of a futuristic urban society.
  • D. Metropolis I
    Metropolis I is the debut studio album by American progressive metal band Dream Theater, originally released in 1989 under the title "When Dream and Day Unite."
  • E. Metropolis II
    Metropolis II is a large-scale kinetic sculpture by artist Chris Burden that features hundreds of miniature cars racing through an intricate, futuristic cityscape.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50cf8808190a41e565216712704 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb316a188190a1c7fbe0d1997cf5 completed April 5, 2026, 4:55 a.m.
Created at: March 30, 2026, 8:40 p.m.