Triple

T19469973
Position Surface form Disambiguated ID Type / Status
Subject Nutshell E487094 entity
Predicate followedBy P78 FINISHED
Object Machines Like Me NE NERFINISHED

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: Machines Like Me | Statement: [Nutshell, followedBy, Machines Like Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machines Like Me
Context triple: [Nutshell, followedBy, Machines Like Me]
  • A. Machines Like Me chosen
    Machines Like Me is a speculative novel by Ian McEwan that explores artificial intelligence, ethics, and human relationships in an alternate 1980s Britain.
  • B. The Machine
    The Machine is the nickname of Albert Pujols, a Dominican-American former Major League Baseball first baseman renowned for his remarkably consistent and powerful hitting.
  • C. The Machine
    The Machine is a powerful, clandestine artificial superintelligence from the TV series "Person of Interest" that predicts violent crimes by analyzing global surveillance data.
  • D. The Machine
    The Machine is the nickname of Shelly Levene, a once-legendary but now struggling real estate salesman in David Mamet’s play and film "Glengarry Glen Ross."
  • E. The Machine
    The Machine is the sadistic, masked pornographer and primary antagonist in the 1999 crime thriller film "8MM."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e6fd988190b79be580b65746fe completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.