Triple

T21736593
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Lisco E536540 entity
Predicate notableWork P4 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: [Jonathan Lisco, notableWork, Halt and Catch Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halt and Catch Fire
Context triple: [Jonathan Lisco, notableWork, 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0c0a088190bd1926fa4b73d8f4 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:49 p.m.