Triple

T19648519
Position Surface form Disambiguated ID Type / Status
Subject Michel Gill E471743 entity
Predicate notableWork P4 FINISHED
Object Mr. Robot 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: Mr. Robot | Statement: [Michel Gill, notableWork, Mr. Robot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Robot
Context triple: [Michel Gill, notableWork, Mr. Robot]
  • A. Mr. Robot chosen
    Mr. Robot is a critically acclaimed psychological thriller television series about a socially anxious hacker drawn into an underground cyber-activist group.
  • B. Mindhunter
    Mindhunter is a psychological crime thriller television series that follows FBI agents as they develop criminal profiling techniques by interviewing imprisoned serial killers in the late 1970s and early 1980s.
  • C. Halt and Catch Fire
    Halt and Catch Fire is a critically acclaimed drama television series about a group of innovators navigating the early personal computing and internet boom of the 1980s and 1990s.
  • D. Westworld
    Westworld is a 1973 science fiction thriller film about a futuristic amusement park where lifelike robots malfunction and turn deadly.
  • E. Westworld
    Westworld is a science fiction television series that explores artificial intelligence, consciousness, and morality within a technologically advanced Wild West–themed amusement park.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64126cea88190a1a6929f46de4686 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.