Triple

T9212509
Position Surface form Disambiguated ID Type / Status
Subject Roland Totheroh E221158 entity
Predicate notableWork P4 FINISHED
Object Modern Times E27478 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: Modern Times | Statement: [Roland Totheroh, notableWork, Modern Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modern Times
Context triple: [Roland Totheroh, notableWork, Modern Times]
  • A. Modern Times
    Modern Times is a critically acclaimed 2006 studio album by Bob Dylan that blends blues, rock, and folk influences with reflective, poetic lyrics.
  • B. Modern Times chosen
    Modern Times is a 1936 silent comedy film by Charlie Chaplin that satirizes industrialization and modern society through the misadventures of his iconic Tramp character.
  • C. 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.
  • D. Metropolis
    Metropolis is a major Ethereum protocol upgrade that introduced significant improvements to scalability, security, and usability of the blockchain.
  • E. Metropolis
    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.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda05406081909893bec3a092d3ce completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0660839f88190afdfb8bc2d710fc3 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:27 p.m.