Triple

T17444551
Position Surface form Disambiguated ID Type / Status
Subject Robots and Jobs: Evidence from US Labor Markets E424745 entity
Predicate relatedWork P37 FINISHED
Object The Race Between Man and Machine NE NERFINISHED

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: The Race Between Man and Machine | Statement: [Robots and Jobs: Evidence from US Labor Markets, relatedWork, The Race Between Man and Machine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Race Between Man and Machine
Context triple: [Robots and Jobs: Evidence from US Labor Markets, relatedWork, The Race Between Man and Machine]
  • A. Man and Machine
    "Man and Machine" is a key chapter in Peter Thiel’s book "Zero to One" that explores how humans and computers can best complement each other in creating innovative, future-defining technologies.
  • B. Man vs. Machine
    Man vs. Machine is a studio album by American rapper Xzibit that showcases his aggressive West Coast hip-hop style and collaborations with prominent producers and artists.
  • C. Mind over Machine
    Mind over Machine is a philosophical critique of artificial intelligence in which Hubert Dreyfus (with Stuart Dreyfus) argues that human expertise and understanding cannot be fully captured by formal rules or computational models.
  • D. The People Machine
    The People Machine is a book by journalist Robert MacNeil that explores the influence of television and mass media on politics and public perception.
  • E. Hello World: How to be Human in the Age of the Machine
    "Hello World: How to be Human in the Age of the Machine" is a popular science book by mathematician Hannah Fry that explores how algorithms shape modern life and examines the balance between human judgment and machine decision-making.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Race Between Man and Machine
Target entity description: "The Race Between Man and Machine" is an influential work examining how rapid advances in automation and computerization are reshaping labor markets and the competition between human workers and machines.
  • A. Man and Machine
    "Man and Machine" is a key chapter in Peter Thiel’s book "Zero to One" that explores how humans and computers can best complement each other in creating innovative, future-defining technologies.
  • B. Man vs. Machine
    Man vs. Machine is a studio album by American rapper Xzibit that showcases his aggressive West Coast hip-hop style and collaborations with prominent producers and artists.
  • C. Mind over Machine
    Mind over Machine is a philosophical critique of artificial intelligence in which Hubert Dreyfus (with Stuart Dreyfus) argues that human expertise and understanding cannot be fully captured by formal rules or computational models.
  • D. The People Machine
    The People Machine is a book by journalist Robert MacNeil that explores the influence of television and mass media on politics and public perception.
  • E. Hello World: How to be Human in the Age of the Machine
    "Hello World: How to be Human in the Age of the Machine" is a popular science book by mathematician Hannah Fry that explores how algorithms shape modern life and examines the balance between human judgment and machine decision-making.
  • F. None of above. chosen

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffa2d84819086474649eba1065c completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.