Triple

T22427297
Position Surface form Disambiguated ID Type / Status
Subject Gordon Clark E554405 entity
Predicate appearsIn P795 FINISHED
Object Halt and Catch Fire 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: Halt and Catch Fire | Statement: [Gordon Clark, appearsIn, Halt and Catch Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halt and Catch Fire
Context triple: [Gordon Clark, appearsIn, Halt and Catch Fire]
  • A. Halt and Catch Fire chosen
    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.
  • B. Black Mirror
    Black Mirror is a song by Canadian indie rock band Arcade Fire, known as the opening track of their 2007 album "Neon Bible."
  • C. Black Mirror
    Black Mirror is a British science fiction anthology television series that explores the dark and often dystopian consequences of modern and near-future technology on society and human behavior.
  • D. Mr. Robot
    Mr. Robot is a critically acclaimed psychological thriller television series about a socially anxious hacker drawn into an underground cyber-activist group.
  • E. Silicon Valley (TV series)
    Silicon Valley is an American satirical comedy television series that follows a group of software developers navigating the tech industry in California’s high-tech hub.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2e438481908d43026727afa709 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.