Triple

T3379366
Position Surface form Disambiguated ID Type / Status
Subject Mark O'Brien E71143 entity
Predicate notableWork P4 FINISHED
Object Halt and Catch Fire E336177 NE FINISHED

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: [Mark O'Brien, 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: [Mark O'Brien, 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 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.
  • C. Mr. Robot
    Mr. Robot is a critically acclaimed psychological thriller television series about a socially anxious hacker drawn into an underground cyber-activist group.
  • D. Westworld
    Westworld is a science fiction television series that explores artificial intelligence, consciousness, and morality within a technologically advanced Wild West–themed amusement park.
  • E. Person of Interest
    Person of Interest is a science fiction crime drama television series that follows a reclusive billionaire and a former CIA operative who use an advanced surveillance AI to prevent violent crimes in New York City.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2ec38d88190be8c824daeca5ab6 completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3344c0698819082d856d8be7f2c18 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:14 p.m.