Triple

T17354189
Position Surface form Disambiguated ID Type / Status
Subject Philip Kerr E421891 entity
Predicate notableWork P4 FINISHED
Object Metropolis
Metropolis is a historical crime novel by Philip Kerr featuring detective Bernie Gunther in a pre-World War II Berlin setting.
E1264893 NE FINISHED

How this triple was built (4 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: [Philip Kerr, notableWork, Metropolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolis
Context triple: [Philip Kerr, notableWork, Metropolis]
  • A. 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.
  • B. Metropolis
    Metropolis is a major Ethereum protocol upgrade that introduced significant improvements to scalability, security, and usability of the blockchain.
  • C. Metropolis
    Metropolis is a major urban area of London that historically fell under the jurisdiction of Peel’s Act, which established the modern professional police force.
  • D. Metropolis
    "Metropolis" is a song by Owl City from the synth-pop album *The Midsummer Station*.
  • E. Metropolis
    Metropolis is a surname most notably associated with Nicholas Metropolis, a pioneering physicist and co-developer of the Metropolis algorithm in computational physics and statistics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Metropolis
Triple: [Philip Kerr, notableWork, Metropolis]
Generated description
Metropolis is a historical crime novel by Philip Kerr featuring detective Bernie Gunther in a pre-World War II Berlin setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Metropolis
Target entity description: Metropolis is a historical crime novel by Philip Kerr featuring detective Bernie Gunther in a pre-World War II Berlin setting.
  • A. 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.
  • B. Metropolis
    Metropolis is a major urban area of London that historically fell under the jurisdiction of Peel’s Act, which established the modern professional police force.
  • C. Metropolis
    Metropolis is a science fiction television series inspired by Fritz Lang’s classic 1927 film, exploring a futuristic city divided by class and technological power.
  • D. 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.
  • E. Metropolis
    Metropolis is a surname most notably associated with Nicholas Metropolis, a pioneering physicist and co-developer of the Metropolis algorithm in computational physics and statistics.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2e660c81908700aed5c42e9043 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955a50dc819090c1a0ec111d9fc0 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a019b7ab6bc8190843e2c6c7f2007d7 completed May 11, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_6a019c53d8b0819083f380693943f881 completed May 11, 2026, 9:07 a.m.
Created at: April 10, 2026, 5:44 a.m.